********************************************************
****       CHANGES IN TAM PACKAGE VERSIONS          ****
********************************************************


++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Test Analysis Modules (TAM)
A. Robitzsch, T. Kiefer, & M. Wu

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mailto:
-------
Alexander Robitzsch
robitzsch@ipn.uni-kiel.de>

For reporting a bug, please always provide a reproducible R script 
and (if necessary) a corresponding dataset.

URL:
----

For TAM tutorials see
http://www.edmeasurementsurveys.com/TAM/Tutorials/


+++++++++++++++++++++++++++++++++++++++++++++++++++++++




-------------------------------------------------------------
VERSIONS TAM 4.1  |  2022-08-28  |  Last: TAM 4.1-4
-------------------------------------------------------------

FIXED * fixed issues in handling constraints in tamaan() and
        tam.mml.3pl()

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: ---

-------------------------------------------------------------
VERSIONS TAM 4.0  |  2022-05-13  |  Last: TAM 4.0-16
-------------------------------------------------------------

NOTE  * changed default output file name suffix in tam_osink()
NOTE  * new CRAN release because of recent removal of the 
        CDM package from CRAN

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: ---

-------------------------------------------------------------
VERSIONS TAM 3.7  |  2021-06-24  |  Last: TAM 3.7-16
-------------------------------------------------------------

NOTE  * changed computation of AXsi and xsi.item in outputs to
        prevent numerical differences with xsi
        (thanks to Rudolf Debelak)
NOTE  * included utility function tam_model_implied_means() for
        computation of model-implied means
FIXED * fixed a bug in tam.mml.wle() and tam.mml.wle2() if argument
        'score.resp' is used (thanks to Fu Liu)
ADDED * added function tam.cb() that generates most important
        descriptive statistics for a data frame
FIXED * fixed a bug in tam.linking() with method='chain'
FIXED * fixed a recently introduced bug (since TAM 3.5) in 
        faceted models with polytomous items 
        (thanks to Nguyen Thi Kim Cuc)      

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: ---

-------------------------------------------------------------
VERSIONS TAM 3.6  |  2021-04-22  |  Last: TAM 3.6-45
-------------------------------------------------------------

FIXED * fixed an issue in tam.linking() if number of maximum
        categories in groups differs
FIXED * fixed a bug in tam.np() 
        (thanks to @andreanorcinipala, Github issue #13)
NOTE  * added '...' argument in tam.fa() (thanks to a suggestion
        of @jeppebundsgaard, Github issue #11)
ADDED * added weights argument 'pweights' in tam.ctt3()
NOTE  * included argument 'gammaslope.max' in tam.mml.3pl()
FIXED * fixed a bug in tam.mml.mfr() for items with more than
        10 categories (thanks to Andrew Kyngdon)
FIXED * handling of person weights in multi faceted models
        (related to an issue mentioned by Jason Schoeneberger)
NOTE  * added constraints option in designMatrices() function
        for rating scale models (modeltype='RSM')
        (thanks to Stefanie Wind)
NOTE  * switched labeling of output values 'item' and 'item1'
        in models of class 'tam.jml'
NOTE  * included argument 'trim_val' in tam.jml.fit()
FIXED * tam.threshold() now works for objects of class 'tam.jml'
        (requested by Angel Zegarra)
NOTE  * implemented alternative computation version in tam.jml()
        that is more efficient in case of a lot of missing data.
        The default in tam.jml() is now 'version=3' 
        (thanks to a discussion with Daniel Lopes de Castro).
FIXED * fixed a bug in IRT.simulate() for models involving items 
        with unequal numbers of categories 
        (thanks to @jeppebundsgaard, Github issue #16)
ADDED * added IRT model 'GPCM.groups' for estimating slope groups
        in the generalized partial credit model (GPCM) in the
        tam.mml.2pl() function
FIXED * fixed incorrectly counted number of parameters for
        information criteria in generalized partial credit model
        (irtmodel='GPCM' in tam.mml.2pl())
        (thanks to @uhkeller, Github issue #17)

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: tam.jml (2)

-------------------------------------------------------------
VERSIONS TAM 3.5  |  2020-05-05  |  Last: TAM 3.5-19
-------------------------------------------------------------

FIXED * fixed a bug in plot.tam() function that was introduced
        in TAM 3.4 (thanks to @sda030; Github issue #12)
NOTE  * included arguments 'eps_rob_hae' and 'par_init' 
        in tam.linking()
FIXED * fixed a bug in tam.jml.fit()
        (thanks to Jess Mazengarb)
FIXED * now use Fisher z correlation for computation in
        maximum residual correlation in tam.modelfit()
        (thanks to Hyeon-Ah Kang)
FIXED * fixed recently occuring error in CRAN checks with 
        computation of computation times (since R 4.0; 
        thanks to Kurt Hornik)
FIXED * fixed a bug in tam.mml.mfr() with multiple rows by person
        when group or Y arguments are provided
        (thanks to Laura Helbling)

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: tam.linking (1)

-------------------------------------------------------------
VERSIONS TAM 3.4  |  2020-03-10  |  Last: TAM 3.4-26
-------------------------------------------------------------

NOTE  * corrected output 'resp' in tam.jml() in case of missing
        values (thanks to William Auty)
FIXED * fixed incorrect number of estimated parameters for 
        multidimensional polytomous data in tam.fa() and
        tam.mml.2pl() (thanks to Kuan-Yu Jin)
FIXED * fixed incorrect number of estimated parameters if
        a fixed B matrix is used (thanks to Timo Gnmabs)
ADDED * included output in plot.tam() function 
        (requested by Anne Pinot de Moira)
ADDED * included function tam_downcode()
        (suggested by Marcus Kubsch)
NOTE  * included argument 'constraint' in tam.jml() for 
        constraining item difficulties to zero 
        (suggested by Andreas Viberg)
NOTE  * included Gilula-Haberman log penalty statistic that
        is labeled as 'GHP' in mod$ic and summary output

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: tam.fa (2), tam.mml (6),
        plot.tam (1), tam_downcode(1), tam.jml (1)

-------------------------------------------------------------
VERSIONS TAM 3.3  |  2019-08-23  |  Last: TAM 3.3-10
-------------------------------------------------------------

FIXED * fixed bug in processing of design matrices 
        (thank to Andrea Cantieni; Github issue #6)
FIXED * fixed bug in OCLA application caused by 
        TAM:::tam_dtnorm() (thank to Andrea Cantieni; Github issue #7)
FIXED * fixed a bug in tam.se() for Quasi Monte Carlo Integration
        (thanks to Hansjoerg Plieninger, Github issue #8; also
        reported by Mirka Henninger and Markus Schreiner)
NOTE  * included argument 'max_ncat' in tam.ctt3()

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: ---

-------------------------------------------------------------
VERSIONS TAM 3.2  |  2019-07-04  |  Last: TAM 3.2-24
-------------------------------------------------------------

ADDED * added S3 method IRT.cv() for cross-validation.
        This method can be applied for objects of class 'tam.np'.
FIXED * fixed a bug in tam.jml() when all item parameters are
        fixed (thanks to Mario Moreno)
FIXED * fixed a bug in tam.mml.mfr() when 'item' is the only
        facet (thanks to Ulrich Keller; see Example 1, 
        Model 1d2 in ?tam.mml)
ADDED * included robust Haebara linking (type="RobHae") in
        tam.linking()
ADDED * allowed elimination of items from linking in
        tam.linking() (requested by Rikkert van der Lans)
ADDED * included joint linking approach in tam.linking()
        in addition to chain linking approach (see argument
        method="joint"). Changed default to method="joint".
FIXED * fixed a bug in counting number of estimated parameters
        in case of constraints for gamma parameters in
        tam.mml.3pl() function (thanks to Mirka Henniger)
NOTE  * included bibtex key in CITATION file
        (thanks to Chris Kennedy)
       
DATA  * included/modified datasets: ---
EXAMP * included/modified examples: tam.np (2), 
        tam.mml (1, Model 1d2), tam.linking (1)

-------------------------------------------------------------
VERSIONS TAM 3.1  |  2019-03-18  |  Last: TAM 3.1-45
-------------------------------------------------------------

ADDED * included lasso and ridge penalties in basis expansion
        approach for semiparametric item response modeling in
        tam.np()
NOTE  * exported utility function IRT.RISE()
NOTE  * included S3 methods anova() and logLik() for tam.np()
NOTE  * included additional check of 'constraint' argument in 
        tam.mml() and tam.mml.mfr() which now also allows 
        inputs 'case' and 'item' 
        (due to a discussion with Fabian Fuentealba Munoz and
        Eng Yeoh)   
NOTE  * included IRT parameterization of item parameters in 
        summary output and in output value list ('item_irt')
        (requested by Markus Buehner)
NOTE  * included an example (Example 27) of matching IRT 
        parameterization with TAM parameterization 
        (requested by Ana Minguez)
NOTE  * corrected number of estimated parameters in GPCM when
        elements of the B matrix are fixed (thanks to Ana Minguez)
FIXED * fixed a bug in tam.mml.3pl() when number of categories
        differ between items (thanks to Boris Girnat)

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: tam.np (2,3), tam.mml (27)

-------------------------------------------------------------
VERSIONS TAM 3.0  |  2018-12-10  |  Last: TAM 3.0-21
-------------------------------------------------------------

FIXED * fixed numerical instabilities in latent regression 
        models caused by variables with very different
        standard deviations. Replaced MASS::ginv() by the
        internal function tam_ginv_scaled() which is now
        exported (thanks to Simon Grund).
NOTE  * renamed weighted_curtosis() into weighted_kurtosis()       
NOTE  * fixed a bug in plot.tam() when response data with 
        completely missing observations for some persons is
        used (thanks to Kow Kuroda)

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: weighted_Stats (1,2),
        tam.mml (26)

-------------------------------------------------------------
VERSIONS TAM 2.13  |  2018-09-30  |  Last: TAM 2.13-15
-------------------------------------------------------------

NOTE  * fixed a bug in output of standardized coefficients for
        multidimensional IRT models
ADDED * included function tam.np() for nonparametric estimation
        of unidimensional item response models
NOTE  * added S3 method IRT.residuals() for objects of class
        'tam.jml' (suggested by Matthew Courtney)
NOTE  * tamaan() cannot process item names with underscore "_"
        included. This is now included as an error message for
        the user (reported by Boris Girnat).
NOTE  * renamed tam.jml.WLE() into tam_jml_wle()
NOTE  * now (again) export tam.mml.wle() (used in ?tam.linking)
        (thanks to Boris Girnat)

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: tam.np (1), 
        tam.linking (3,4)

-------------------------------------------------------------
VERSIONS TAM 2.12  |  2018-05-25  |  Last: TAM 2.12-18
-------------------------------------------------------------

ADDED * added "quick" standard error computation method for
        fitted TAM models of class 'tam.latreg' in tam.se()
        using helper function tam_latreg_se_quick()
        (thanks to Yuan-Ling Linda Liaw)
FIXED * fixed a bug in tam.wle() which was introduced due to
        changes in TAM 2.11 (thanks to Anna Scharl)
NOTE  * added utility functions tam_max_abs() and
        tam_max_abs_list()

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: ---

-------------------------------------------------------------
VERSIONS TAM 2.11  |  2018-05-02  |  Last: TAM 2.11-93
-------------------------------------------------------------

FIXED * fixed a bug in tam.pv.mcmc() when almost singular
        predictor matrices are used (thanks to Florian Keller)
NOTE  * included argument 'calc_ic' in tam.pv.mcmc()
NOTE  * included argument 'groups_by_item' in plot.tam()
        function (thanks to Laura Helbling)
NOTE  * changed behavior of 'verbose' argument in tam.mml(),
        tam.mml.2pl(), ... functions when it is called in
        other functions (thanks to Hansjoerg Plieninger)
NOTE  * moved some parts of the M-step computations in
        tam.mml.2pl() and calculation of probabilities to Rcpp

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: tamaan (3)

-------------------------------------------------------------
VERSIONS TAM 2.10  |  2018-03-29  |  Last: TAM 2.10-24
-------------------------------------------------------------

FIXED * fixed problems of numerical overflow in tam.pv.mcmc()
        (thanks to Domenico Angelone and Florian Keller)
NOTE  * handled non-vector input for 'theta' in tam.wle() with 
        tam.jml() values (thanks to Andres Alberto Burga Leon)
NOTE  * changed default in plot.tam() to 'fix.devices=TRUE'
        (communicated by David Torres Irribarra)
NOTE  * included Example 25 in ?tam.mml which illustrated
        different GPCM parametrizations in the TAM, mirt and 
        ltm package
NOTE  * exported tam.jml.fit() function
ADDED * added tam.personfit() function
NOTE  * updated documentation ?IRT.itemfit. Use now the label 
        RMSD statistic instead of RMSEA fit statistic.
NOTE  * included ECV statistic in tam.fa() function

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: tam.mml (25), tam.jml (1),
        tam.personfit (1)

-------------------------------------------------------------
VERSIONS TAM 2.9  |  2018-02-26  |  Last: TAM 2.9-35
-------------------------------------------------------------

NOTE  * columns with NAs are now omitted from tam.ctt() 
        (thanks to Hiroyuki Yamada)
NOTE  * compute pseudoinverse matrix of covariates in latent
        regression model to allow estimation in case of 
        multicollinearity
NOTE  * avoided error in tam.pv() when the prior only has zeroes
        in a row
NOTE  * included class-specific item averages in summary output
        of tamaan() function for methods LCA, LOCLCA and OLCA
NOTE  * compute correct number of parameters with non-identified
        located latent class models (LOCLCA) in tamaan(). The estimation
        is conducted without constraints, but one non-identified parameter
        will be subtracted.
ADDED * included standardized regression coefficients and explained
        variance in output for functions tam.mml(), tam.mml.2pl(),
        tam.mml.mfr() and tam.latreg() with value 'latreg_stand'
        (suggested by Jana Gross Ophoff)
NOTE  * renamed tam.mml.se() into tam_mml_se_quick()
NOTE  * included argument 'item_pars' in tam.se() which indicates whether
        standard errors should be computed for item parameters
        (suggested by Karoline Sachse)
NOTE  * included argument 'stringsAsFactors' in tampv2datalist()

DATA  * included/modified datasets: ---
EXAMP * included/modified examples: ---

-------------------------------------------------------------
VERSIONS TAM 2.8  |  2017-11-16  |  Last: TAM 2.8-21
-------------------------------------------------------------

FEATURES:
* include individual class probabilities as an output value 
  'ind_classprobs' in tamaan() (thanks to Rudolf Debelak)
 
BUG FIXES:
* fixed a bug in tam.mml.3pl() for models with stochastic
  nodes (thanks to Bodo Eickhorst and Hansjoerg Plieninger)
* fixed a bug with 'verbose' input of 'T' or 'F'
  (thanks to Hansjoerg Plieninger)
* fixed a bug in tamaan() with latent classes estimation
  which was recently introduced due to other bug fixes
* fixed a problem causing a warning message in multiple
  group models (thanks to Hon-Jang Yang)

NOTES:
* added an example (tam.mml(), Example 20, Model 2) for 
  conversion of design matrices of multidimensional partial 
  credit models from tam.mml() into tam.mml.3pl() 
  (created by Hansjoerg Plieninger)
* allowed stochastic integration and Quasi Monte Carlo
  integration for multiple group models in tam.mml.3pl()
  (suggested by Hansjoerg Plieninger)

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* tam.mml (20.2)

-------------------------------------------------------------
VERSIONS TAM 2.7  |  2017-10-19  |  Last: TAM 2.7-56
-------------------------------------------------------------

FEATURES:
* included option for providing initial theta values in 
  tam.pv.mcmc()
 
BUG FIXES:
* fixed a bug in tam.pv.mcmc() which was recently introduced
  with an updated version of the CDM package
* fixed a bug in tam.pv.mcmc() which caused a crash when only
  one plausible values is requested
* fixed a bug in output of variance matrices in tam.pv.mcmc()
* included residual correlation matrices in output of
  tam.pv.mcmc()
* fixed a bug in tam.latreg() caused by subfunction
  tam_mml_create_nodes() (thanks to Tom Benton)
* fixed a bug in tamaan() (and tam.mml.3pl()) caused by
  tam_mml_create_nodes() (thanks to Markus Buehner)
* fixed a bug in tam.mml.wle2() when submitting a new dataset
  (thanks to Plamen Mirazchiyski)

NOTES:
* included residual variances and correlations in summary
  output of tam.pv.mcmc()
* added argument 'subtract_max' in tam_irf_3pl()
* calculation of item response probabilities for tam.pv.mcmc()
  now takes place in Rcpp, some speed improvement
* exported utility functions add.lead(), tam_bayesian_bootstrap(),
  tam_cov_wt() and tam_cor_wt()
* included two options for Bayesian bootstrap (Rubin, 1981) in
  tam.pv.mcmc(): sampling of case of probabilities and sampling
  of cases (which corresponds to sampling of integers)
* exported utility functions tam_round_data_frame(),
  tam_round_data_frame_print(), tam_osink(), tam_csink() and
  tam_ginv()
* included argument 'file' in summary.msq.itemfit()
* included argument 'select' for weighted statistics (e.g., in
  weighted_mean(), weighted_sd(), ...)
* included argument 'verbose' in tam.pv()
* included argument 'as_mids' in tam.pv() which allows to convert
  the set of plausible values into an object of class mids for
  analysis in the mice package.

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* tam.pv (1)

-------------------------------------------------------------
VERSIONS TAM 2.6  |  2017-08-10  |  Last: TAM 2.6-2
-------------------------------------------------------------

FEATURES:
* ---
 
BUG FIXES:
* ---

NOTES:
* set 'dontrun' to example 1 of 'tam.latreg' because the CRAN
  check failed

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
VERSIONS TAM 2.5  |  2017-08-08  |  Last: TAM 2.5-14
-------------------------------------------------------------

FEATURES:
* ---
 
BUG FIXES:
* argument 'progress' was disabled due to changes in last TAM 
  version and has been fixed (thanks to Sebastian Weirich)

NOTES:
* replaced MASS:mvrnorm by mvtnorm::rmvnorm in functions in
  the TAM package. Removed MASS package from 'Imports'.
  Moved GPArotation, lattice, lavaan, plyr, psych and 
  WrightMap packages from 'Imports' to 'Suggests'.
* included utility function 'require_namespace_msg'.
* included d values in output of 'tam.linking'
* exported utility function 'tam_dmvnorm'

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
VERSIONS TAM 2.4  |  2017-06-30  |  Last: TAM 2.4-9
-------------------------------------------------------------

FEATURES:
* included multidimensional plausible value imputation with
  multivariate normal approximation of the posterior distribution
 
BUG FIXES:
* fixed a recently introduced bug in 'tam.wle' since TAM 2.2
  (thanks to Mark Dulherty). The function 'tam.mml.wle' is not
  exported anymore.

NOTES:
* ---

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
VERSIONS TAM 2.3  |  2017-06-25  |  Last: TAM 2.3-18
-------------------------------------------------------------

FEATURES:
* included S3 method 'IRT.frequencies' for computing univariate
  and bivariate observed and expected frequencies (thanks to a
  suggestion by Rudolf Debelak)
 
BUG FIXES:
* fixed a bug in 'tam.linking' (thanks to Sandra Preusser)

NOTES:
* set argument 'beta.fixed' to FALSE as the default in 'tam.latreg'
* added 'print' method for 'tam.linking'

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* IRT.frequencies (1), tam.linking (3)

-------------------------------------------------------------
VERSIONS TAM 2.2  |  2017-06-17  |  Last: TAM 2.2-49
-------------------------------------------------------------

FEATURES:
* included function 'tam.pv.mcmc' which allows drawing plausible
  values based on fully Bayesian estimation. A recommendation for
  using 'tam.pv.mcmc' in case of stochastic nodes is now 
  displayed in 'tam.pv'. TAM now depends on the coda package for
  analyzing the MCMC output.
* included linking methods Stocking-Lord and Haebara in the
  functions 'tam.linking' and 'tam_linking_2studies' 

BUG FIXES:
* fixed a recently introduced bug in estimating models with
  stochastic nodes in TAM functions 
  (thanks to Boris Girnat, Steffen Wild and Reg Allen)

NOTES:
* exported utility functions 'tam_interval_index' and
  'tam_rowCumsums'
* disabled argument 'normal.approx' for multidimensional models
  in 'tam.pv' because it is not properly working
* allowed nonnumeric person identifiers for matching
  in 'tampv2datlist' function (thanks to Stefan Behrendt)
* restructured 'tam.mml.wle' and 'tam.mml.wle2' functions. Now,
  WLEs can also be estimated without fitting the model in TAM
  (see Example 1 in ?tam.wle).
* included a summary method for 'tam.wle'. In addition, more
  descriptive output is computed as values in 'attr(object, ...)' 
  in 'tam.wle'.
* exported functions 'weighted_mean', 'tam_irf_3pl',
  'tam_NA_pattern', 'tam_01_pattern', 'tam_normalize_vector',
  'tam_remove_missings', 'tam_AXsi_compute', 'tam_AXsi_fit'

DATASETS INCLUDED OR MODIFIED:
* data.ex16, data.ex17

EXAMPLES INCLUDED OR MODIFIED:
* tam.pv (1,3), tam.wle (1), tam_irf_3pl (1), tam_NA_pattern (1,2),
  tam.linking (1,2)

-------------------------------------------------------------
VERSIONS TAM 2.1  |  2017-05-10  |  Last: TAM 2.1-43
-------------------------------------------------------------

FEATURES:
* ---
 
BUG FIXES:
* ---

NOTES:
* included argument 'verbose' in TAM functions which is 
  frequently used in many other R functions
* exported utility functions 'tam_args_CALL_search', 'tam_matrix2',
  'tam_outer', 'tam_normalize_matrix_rows', 'tam_trim_increment',
  'tam_difference_quotient', 'tam_assign_list_elements',
  'tam_aggregate'
* fixed bug in 'IRT.informationCurve' when only one item is used 
  (thanks to Asghar Minaei)
* changed the default of the argument 'est.variance' to TRUE in
  'tam.mml' and 'tam.mml.mfr'
* included optional control argument 'trim_increment' in 
  argument list 'control' in 'tam_foo' functions which allows
  the user to choose between two methods 'half' and 'cut' for 
  reducing the size of increments
* internal restructure of the main functions

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
VERSIONS TAM 2.0  |  2017-04-12  |  Last: TAM 2.0-37
-------------------------------------------------------------

FEATURES:
* extended multiple group models to multidimensional IRT
  models in 'tam.mml.3pl' (see Example 1.9)
 
BUG FIXES:
* fixed a bug in 'tam.mml.3pl' with option skillspace='normal'
  and estimated means (i.e., means not fixed to zero)
* fixed a bug in handling multiple groups in 'tam.mml.3pl'
  (thanks to Laura Zieger)

NOTES:
* changed calculation of item response probabilities to avoid
  numerical overflow
* removed dependencies to the packages msm and tensor
* included example for extracting posterior probabilities in
  Rasch mixture models (requested by Ling Liaw)
* changed order of items in output of value 'item' in 'tam.mml.mfr'  
* exported utility functions 'tam_packageinfo', 'tam_print_call' and
  'tam_rsessinfo' for usage in other packages
* added 'logLik' method for objects of class 'tam.jml'
* moved function 'tam.jml2' into 'tam.jml' (now available as the 
  default with argument 'version=2')

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* data.geiser (2), tam.mml.3pl (1.9), tam.jml (1,2,3)

-------------------------------------------------------------
VERSIONS TAM 1.99999  |  2017-03-02  |  Last: TAM 1.99999-31
-------------------------------------------------------------

FEATURES:
* ---
 
BUG FIXES:
* removed adjustment for WLE estimation of extreme scores in 
  'adj' in 'tam.wle'. Now, WLE estimation in TAM should be
  equivalent to ConQuest software, sirt::IRT.mle and
  mirt::fscores. The adjustment 'adj' is only applicable for
  MLE estimation in 'tam.wle'. The WLE estimation of the recent
  TAM version is equivalent to 'adj=0' of previous TAM versions.

NOTES:
* restructured Rcpp functions

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.99993 (2017-02-06)  --  CRAN 1.99993-0
-------------------------------------------------------------

FEATURES:
* ---
 
BUG FIXES:
* changed handling of item names in 'tam.mml.mfr' back to
  TAM 1.995-0 version (problem communicated by Barth Riley)
* fixed a bug in 'tam.mml.2pl' for irtmodel='GPCM.design' with
  provided design matrices for item slopes
  (thanks to Matthias Trendtel) 

NOTES:
* ---

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.99992 (2017-01-23)  --  CRAN 1.99992-0
-------------------------------------------------------------

FEATURES:
* ---
 
BUG FIXES:
* fixed incorrect handling of item renaming in 'tam.mml.mfr'
  (thanks to Barth Riley) 
* fixed a bug in calculation of p values in 'tam.fit'
  (thanks to David Torres Irribarra)
* fixed a bug in 'IRT.simulate' with used argument 'nobs'
  (thanks to Mark Dulhunty)
* the fixing of the random seed within the 'tam.fit' function
  is removed (thanks to Sebastian Weirich)
* fixed crucial bug in 3PL estimation in 'tam.mml.3pl' function
  (thanks to Petra Kleiber)

NOTES:
* stop estimation in 'tam.jml' (and 'tam.jml2') if there are persons
  with only missing item responses (communicated by Ricardo Primi)
* included standard errors for constrained parameters in 'tam.mml.mfr'
  similar to the software ConQuest software 
  (requested by Florian Keller und Domenico Angelone)

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.995    (2016-05-31)  --  CRAN 1.995-0
-------------------------------------------------------------

FEATURES:
* ---

BUG FIXES:
* fixed a bug in 'tam.fit' when proving a fit matrix F with
  missing labels (thanks to Maxim Morin)

NOTES:
* included argument 'version' in 'msq.itemfit'. Another Rcpp
  implementation (version=2) of the fit calculation has been 
  added which avoids the storage of memory intensive objects
  (previous function; version=1). Additionally, a pure 
  R function of calculating fit can be requested using 
  version=3 (thanks to Frank Musekamp).

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.99    (2016-04-15)  --  CRAN 1.99-6
-------------------------------------------------------------

FEATURES:
* ---

BUG FIXES:
* fixed a bug in 'tam.wle' which occured if some persons were
  eliminated from the analysis
* fixed a recently induced bug in 'tam.wle' estimation of
  multidimensional models (thanks to Sascha Bernholt)

NOTES:
* ---

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.17   (2016-03-11)  --  CRAN 1.17-0
-------------------------------------------------------------

FEATURES:
* included function 'IRTLikelihood.ctt' which computes the 
  individual likelihood under classical test theory and
  normally distributed measurement errors

BUG FIXES:
* fixed a bug in plausible value imputation 'tam.pv' in case 
  of 'normal.approx=FALSE' (thanks to Matthias Trendtel)
* fixed a bug in plotting 'png' files in 'plot.tam'
  (thanks to Rainer Alexandrowicz) 
* fixed a bug in calculating standard errors with only one
  estimated xsi parameter
* fixed a crash in 'tam.jml2'
* fixed a bug in 'tam.wle' when using the argument 'score.resp'

NOTES:
* included Example 24 for specifying sum constraints in partial
  credit models (requested by Chen-Wei Liu) 
* output of 'tam.wle' is now an object of class 'tam.wle'.
  A print method for this class is defined.
* WLE reliability in 'tam.wle' is now calculated by taken
  sample weights 'pweights' into account
* included Example 11 of 'tam.mml.3pl' with mixed item 
  response format (thanks to a correspondence with Andreas Seifert)
* included utility functions for weighted statistics 'weighted_Stats'
* included utility functions 'WLErel' and 'EAPrel' for computation of 
  WLE/EAP reliability
* added 'print' methods for tam classes ('tam.mml', 'tamaan', ...)
* added S3 methods 'Scale' and 'DescribeBy'. The application of these
  methods to object classes will be included in future TAM versions.
* slight change in summary output of 'IRT.modelfit'

DATASETS INCLUDED OR MODIFIED:
* ---

EXAMPLES INCLUDED OR MODIFIED:
* tam.mml (24), WLErel (1), tam.mml.3pl (11), weighted_Stats (1,2,3),
  IRTLikelihood.ctt (1), tam.pv (2)

-------------------------------------------------------------
CHANGES IN VERSION 1.16   (2016-01-31)  --  CRAN 1.16-0
-------------------------------------------------------------

Features:
* ---

Bug fixes:
* fixed a crucial bug in estimation of 'tam.mml.2pl', 
  irtmodel='GPCM.design'

Notes:
* included a warning message in 'IRT.truescore' when
  not all values in the theta grid can be computed
* cleaned namespace file and defined imported functions
  in a more explicit way
* included argument 'Q' in 'IRT.truescore' function which
  allows for computation of weighted true scores
  (thanks to David Sichau)
* fixed a bug in 'tam.mml.2pl' with irtmodel='GPCM.design'
  in case of blank categories

Datasets included or modified:
* ---

Examples included or modified:
* IRT.truescore (2)

-------------------------------------------------------------
CHANGES IN VERSION 1.15   (2015-12-15)  --  CRAN 1.15-0
-------------------------------------------------------------

Features:
* ---

Bug fixes:
* fixed a bug in postprocessing of parameter names in 'tam.mml.mfr'
  with the option "constraint='items'"
* avoided NA entries in posterior calculation in 'tam.mml' and
  'tam.mml.2pl' 

Notes:
* corrected output of likelihood when minimum value was not
  obtained in last iteration
* changed behavior of parameters 'max.increment' and 'increment.factor'
  in 'tam.mml.mfr' which should result in more stable deviance
  behavior
* included attributes 'pid' and 'pweights' in 'IRT.likelihood' and
  'IRT.posterior'
* included optional argument 'gamma.init' for 'tam.mml.2pl' and 
  irtmodel='GPCM.design'
* included argument 'item.elim' in 'tam.mml', 'tam.mml.2pl' and 
  'tam.mml.3pl' which prevents the omission of items with a 
  maximum score of zero (suggested by Anja Mikolajetz)
* changed output of 'pweights' to original provided person weights,
  not the transformed person weights

Datasets included or modified:
* ---

Examples included or modified:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.14   (2015-10-15)  --  CRAN 1.14-0
-------------------------------------------------------------

Features:
* ---

Bug fixes:
* fixed a bug in creating design matrices with more than 9 levels
  of a factor in a facet for facet models with items with
  varying number of categories
* fixed a recently introduced bug in 'tam.pv' which occured due
  to a change in the list of arguments in auxiliary function 
  'stud_prior.v2' (thanks to Florian Gigl)

Notes:
* ---

Datasets included or modified:
* ---

Examples included or modified:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.13   (2015-08-29)  --  CRAN 1.13-0
-------------------------------------------------------------

Features:
* ---

Bug fixes:
* fixed a recently introduced bug in TAM 1.12-0 when
  creating the item parameter table

Notes:
* extended value 'item' to output of category 0 if design
  matrices put values on zero categories

Datasets included or modified:
* ---

Examples included or modified:
* tam.mml (23)



-------------------------------------------------------------
CHANGES IN VERSION 1.12   (2015-08-27)  --  CRAN 1.12-0
-------------------------------------------------------------

Features:
* ---

Bug fixes:
* fixed a recently included bug (in TAM 1.11-0) in 
  'tam.mml.3pl' estimation when guessing parameters are
  estimated (thanks to Rolf Strietholt and Laura Zieger)

Notes:
* ---

Datasets included or modified:
* ---

Examples included or modified:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.11   (2015-08-11)  --  CRAN 1.11-0
-------------------------------------------------------------

Features:
* ---

Bug fixes:
* fixed a recently included bug in TAM 1.10-0 in calculation 
  of deviance in 'tam.mml.2pl', 'tam.mml.3pl' and 'tam.mml.3pl'
  (thanks to Christopher Gess)
* fixed a recently included bug in TAM 1.9-0 in estimation
  of models with estimated means of latent trait
  (thanks to Frank Musekamp)

Notes:
* included guessing parameters and its standard errors in
  output of 'tam.mml.3pl' ('guess' and 'se.guess')

Datasets included or modified:
* ---

Examples included or modified:
* ---

-------------------------------------------------------------
CHANGES IN VERSION 1.10   (2015-07-25)  --  CRAN 1.10-0
-------------------------------------------------------------

Features:
* added simulation function 'IRT.simulate'
* added function 'IRT.truescore' which converts theta 
  scores into true scores

Bug fixes:
* fixed a bug in calculation of expected counts 

Notes:
* included argument 'dev_crit' in 'control' in tam 
  functions which allows a decision whether change in 
  absolute deviance difference (dev_crit="absolute") 
  or in relative deviance differences (dev_crit="relative")
  should be assessed.
* extended 'IRT.itemfit' S3 method to objects of classes
  generated in TAM (suggested by Karoline Sachse)
* included item-wise calculation of thresholds according
  to Ali, Chang and Anderson (2015) suggestion in 
  'IRT.threshold'

Datasets included or modified:
* ---

Examples included or modified:
* IRT.itemfit.tam (1,2), IRT.threshold (3), 
  IRT.simulate (1,2,3,4), IRT.truescore (1)

-------------------------------------------------------------
CHANGES IN VERSION 1.9   (2015-06-30)  --  CRAN 1.9-0
-------------------------------------------------------------

Features:
* included accelerators of the EM algorithm according to
  Ramsay (1975) and Yu (2012). In the recent TAM package
  version, no acceleration is used as an default.

Bug fixes:
* Fixed recently broken 'tam.mml.3pl' function when the
  design matrix E is used.

Notes:
* small speedup for large samples of students in
  unidimensional models

Datasets included or modified:
* ---

Examples included or modified:
* tam.mml (21,22)

-------------------------------------------------------------
CHANGES IN VERSION 1.8   (2015-06-26)  --  CRAN 1.8-0
-------------------------------------------------------------

Features:
* added S3 method 'IRT.informationCurves' for computing
  item and test information curves (suggested by Ray Opao) 

Bug fixes:
* fixed a crucial bug in 'tam.mml.3pl' for mixed dichotomous 
  and polytomous data occur and guessing parameters
  are estimated (thanks to Matthias Trendtel)

Notes:
* added the argument 'Q.fixed' in 'tam.mml.3pl' for usage
  of fixed item loadings
* small speedup in M-step for datasets with large number of items

Datasets included or modified:
* ---

Examples included or modified:
* tam.mml (15c), tam.mml.3pl (10), IRT.informationCurves (1,2)


-------------------------------------------------------------
CHANGES IN VERSION 1.7   (2015-06-05)  --  CRAN 1.7-1
-------------------------------------------------------------

Features:
* included S3 method 'IRT.residuals' (and 'residuals') 
  for objects of classes 'tam.mml', 'tam.mml.2pl' and 
  'tam.mml.mfr'
* added function 'msq.itemfitWLE' (see ?msq.itemfit) 
  which computes outfit and infit statistics based on 
  weighted likelihood estimates (WLEs)
* added function 'tam.Q3' for calculation of Q3 statistics
  based on WLEs

Bug fixes:
* fixed a bug in 'tam.mml.3pl' (which led to an error)
  in case of multiple groups
* fixed a bug in 'tam.mml.mfr' when no person identifiers
  were provided (thanks to by Michal Modzelewski)  
* fixed a bug in 'msq.itemfit' with differing number of 
  categories per item
* fixed a bug in calculation of expected counts for 
  multifaceted models
* fixed a bug in 'tam.mml.mfr' with non-unique combinations
  of person and facet identifiers

Notes:
* speeded 'tam.mml.3pl' for models with many item parameters
* added argument 'change' in 'plotDevianceTAM' for plotting
  iteration progress in deviance values
* added arguments 'progress' and 'output.prob' in 'tam.wle'
* added summary of fit statistics in output of 'msq.itemfit' and
  'summary.msq.itemfit'
* included sample size of each item pair in 'tam.modelfit' output
  value 'stat.itempair'
* renamed datset 'sim.rasch' into 'data.sim.rasch'. The same 
  procedure was conducted for all other 'sim.xxx' datasets.

Datasets included or modified:
* ---

Examples included or modified:
* IRT.residuals (1), msq.itemfit (1,2,3), tam.modelfit (4)

-------------------------------------------------------------
CHANGES IN VERSION 1.6   (2015-04-03)  --  CRAN 1.6-0
-------------------------------------------------------------

Features:
* included function 'IRT.drawPV' for drawing plausible values
  based on individual posterior (output of 'IRT.posterior')

Bug fixes:
* fixed a bug for input of a B loading matrix with no item labels
* fixed a bug in 'plot.tam' with missing data in item responses
  (bug fix provided by Michal Modzelewski)
* corrected an included bug in recent TAM versions in AIC
  calculation (thanks to Simon Grund)
* fixed a bug in variance fixing in 'tam.fa' which occured in a 
  recent TAM version due to changes in defaults in 'tam.mml.2pl'
* fixed a bug when constraining of item parameters was ignored
  in 'tamaan' (thanks to Stefan Behrendt)

Notes:
* speeded data/design matrix preparation phase in 'tam.mml.mfr'
* included internal function 'tamcat' for analyzing computation time
* changed numerical behavior in 'tam.mml.mfr' in order to avoid a zero sum 
  of all individual posterior probabilities (thanks to Roman Freunberger)
* included argument 'xsi.setnull' in 'tam.mml.mfr' for convenient
  fixing of xsi parameter groups. A warning is now given if the
  combination of person and facet identifiers is not unique.     
* allowed also explicit use of facets without effects in 'tam.mml.mfr'
  on 'formulaA', e.g. 'item*step + 0*rater' sets all rater effects
  to zero
* included warning in 'tam.wle' if the WLE is (possibly) not estimable
  (suggested by Rainer Alexandrowicz)

Datasets included or modified:
* ---

Examples included or modified:
* tam.mml (19, 20, 10a), IRT.drawPV (1), tamaan (1.9)

-------------------------------------------------------------
CHANGES IN VERSION 1.5   (2015-02-24)  --  CRAN 1.5-2
-------------------------------------------------------------

Features:
* included S3 methods 'IRT.expectedCounts', 'IRT.modelfit',
  'predict' and 'IRT.data' for fitted models in TAM
* included item fit statistic on item level 'msq.itemfit' 
  as an alternative to the simulation based 'tam.fit' function 
* included linear approximation for confirmatory factor analysis  
  'IRT.linearCFA'

Bug fixes:
* fixed a bug in plausible value imputation in multidimensional
  models and normal approximation (reported by Dan Su)
* changed resp in output of 'tam.mml', 'tam.mml.2pl' and
  'tam.mml.3pl' to output the original used data with missings
  (thanks to Matthias Trendtel)
* extended tam.modelfit to handle multi matrix design appropriately
* changed defaults in 'est.variance' if 'variance.fixed' is provided
  in 'tam.mml.2pl'. The previous default led to bugs in the
  tamaan function. (reported by Christoph Duchhardt)

Notes:
* added output values 'xsi.fixed.estimated', 'B.fixed.estimated'
  for default item parameter fixings in tam.mml, tam.mml.2pl, 
  tam.mml.mfr and tam.mml.3pl (suggested by Matthias Trendtel)
* extended tan.modelfit function for more flexible input to
  allow for assessing model fit for objects which were not
  fitted in TAM ('tam.modelfit.IRT', 'tam.modelfit.args')
* added 'IRT.likelihood' and 'IRT.posterior' S3 method for 
  object of class 'tam.latreg'
* extended 'plotctt' and 'plot.tam' the using graphics package
  in addition to lattice (suggested by Michal Modzelewski)
* included function for computing Thurstonian thresholds ('IRT.threshold')   

Datasets included or modified:
* ---

Examples included or modified:
* tam.mml (1,5t,6), IRT.expectedCounts.tam (1), tam.modelfit (1),
  predict (1), msq.itemfit (1), IRT.linearCFA (1,2),
  IRT.threshold (1,2)

-------------------------------------------------------------
CHANGES IN VERSION 1.4   (2015-01-15)  --  CRAN 1.4-1
-------------------------------------------------------------

Features:
* included function 'cfa.extract.itempars' for extracting
  item parameters from a fitted confirmatory factor analysis
  with the cfa function in lavaan package
* included the function 'IRTLikelihood.cfa' for extracting 
  the individual likelihood from fitted confirmatory factor
  analyses
* included an S3 method 'IRT.WrightMap' which is a wrapper
  to the WrightMap package

Bug fixes:
* fixed a bug for item response dataset with only one column
* fixed a bug in tamaan function when applied to TYPE="TRAIT"
  and models without guessing parameters
* fixed a bug in plot.ctt function for input of item response
  data with only one columns (thanks to Michal Modzelewski)

Notes:
* added item types 'PCM(kk)' and 'GPCM(kk)' for smoothing
  item intercepts in tamaan() function
* included a summary method for 'tam.fit'  
* included 'MEASERR' convenience method for single indicators
  with measurement errors in 'lavaanify.IRT'
* changed some internal handling in 'lavaanify.IRT' due to
  announced changes in lavaan 0.5-18 in 'lavaanify'
* changed equality constraints in the section "MODEL CONSTRAINT"
  in 'tamaanify' to the usage of "==" instead of "=" (as in lavaan)

Datasets included or modified:
* data.ctest2

Examples included or modified:
* cfa.extract.itempars (1), IRTLikelihood.cfa (1),
  tamaan (2), tam.fit (1,2), data.geiser (2), tam.latreg (2,3),
  IRT.WrightMap (1,2,3,4), data.cqc (1,2,3), lavaanify.IRT (6)

-------------------------------------------------------------
CHANGES IN VERSION 1.3   (2015-01-06)  --  CRAN 1.3
-------------------------------------------------------------

Features:
* included option for sum constraints on item intercepts
  (constraint="items") in 'tam.mml'.
  For polytomous data, this option automatically specifies
  irtmodel="PCM2".
* included truncated normal prior distributions for
  gammaslope parameters in 'tam.mml.3pl'
* included 'tamaan' and 'tamaanify' functions for more
  more convenient model specifications in TAM
* included 'doparse' function as a shortcut for writing
  loops in model syntax
* included item-category specific curves in 'plot.tam' using  
  the argument type="items" (suggested by Cheng-Hsuan Li and
  Michal Modzelewski)
* plot function for type="items" now also works for multidimensional
  item response models with between item dimensionality
* included normal approximation and sampling of regression 
  coefficients for plausible value imputation ('tam.pv') for 
  multidimensional item response models. 
  The theta grid can also be fixed (argument theta.model=TRUE)
  and is taken from the fitted model.
* included the function 'tampv2datalist' for converting plausible
  values and a set of covariates into a list of multiply imputed
  datasets 
* included the function 'tam.latreg' which performs a latent
  regression model in which only the individual likelihood is 
  needed as an input

Bug fixes:
* corrected algorithmic stopping criteria in 'tam.mml.3pl'
* fixed a bug in 'tam.mml.2pl' when design matrix B.fixed 
  for fixed loadings contains only one row
* another bug was fixed by Michal Modzelewski in data preparation
  in the multi-facet function 'tam.mml.mfr'
* fixed a bug in estimation routines if a dataset resp is provided
  without column names (thanks to Alec Nyce)

Notes:
* included parametrization of mean item intercept (irtmodel="PCM2")
  in output of tam.mml and tam.mml.2pl (value item$xsi.item)
* included nonlinear terms in lavaan syntax in 'lavaanify.IRT'
* included option for initial delta parameters in 'tam.mml.3pl'
* added AIC3 information criterion in summary
* included datasets data.geiser and data.janssen for latent
  class analysis and mixture Rasch analysis (thanks to
  Christian Geiser and Anne Janssen)
* included Example 3 in 'tam.wle' comparing WLE person parameter
  estimates from the  TAM and the PP package
* included Example 3 in 'tam.threshold' for creating Wright maps
  with the WrightMap package

Datasets included or modified:
* data.geiser, data.janssen, data.janssen2

Examples included or modified:
* tam.modelfit (3), tam.mml (1,4,5,6,13,18), lavaanify.IRT (3,4),
  tam.mml.3pl (1.6b,4,7,8,9), tamaanify (1,2), tamaan (1,2), 
  plot.tam (1,2), tam.wle (3), tam.threshold (3), tam.pv (2,3),
  tam.latreg (1)

-------------------------------------------------------------
CHANGES IN VERSION 1.2   (2014-11-22)  --  CRAN 1.2
-------------------------------------------------------------

Features:
* included fit of constrained facet parameters for output
  of 'tam.mml.mfr'
* included extended lavaan syntax 'lavaanify.IRT'. This
  function was previously included in sirt package as
  'lavaanify.sirt'. 
* added argument 'gammaslope.center' in 'tam.mml.3pl' for 
  centering item parameters within iterations in estimation 
* included an argument of fixing person parameters in 'tam.jml'
  (see tam.jml, Example 1)  
* added S3 methods for fitted models in TAM: 
  'logLik', 'IRT.likelihood', 'IRT.posterior', 'IRT.irfprob', 
  'IRT.factor.scores'. These S3 methods were defined in the
  recent version of the CDM (>= 4.0) package.

Bug fixes:
* improved model identification in 'tam.mml.mfr' in case
  of differing number of categories per item and fixed
  a bug in creating the A matrix (thanks to Michal Modzelewski). 
* fixed a miscount of number of estimated parameters in
  multiple group models (thanks to Michal Modzelewski). 
* fixed incorrect handling of irtmodel="PCM2" in 'tam.mml'
  for multidimensional models (thanks to Chen-Wei Liu)
* fixed a bug in 'tam.jml2' when some item parameters were
  fixed with the xsi.fixed argument
* fixed a bug in fit calculation for tam.jml objects
  (thanks to Hillary Ferral)

Notes:
* included Rcpp based version of item fit calculation to
  reduce computational time
* changed calculation of tam.fit in case of missing item responses
  which substantially changes fit statistics especially for
  faceted models.  
* changed handling of simulating abilities in 'tam.fit'
* included p values in output for fit statistics in 'tam.fit'
* included estimation of Thurstonian thresholds for multidimensional
  models 
* added an example of a 2PL mixture distribution IRT model with
  two latent classes (tam.mml.3pl, Simulated Example 8)
* changed summary layout in 'tam.mml.3pl'
* made item parameter estimation in 'tam.jml' more computationally
  efficient
* added anova method for 'tam.mml.3pl'
* added value of the individual likelihood in 'tam.mml',
  'tam.mml.2pl' and 'tam.mml.3pl'

Datasets included or modified:
* rating dataset data.exJ03 (provided by Matt Barney)

Examples included or modified:
* tam.fit (4), tam.threshold (2), tam.mml.3pl (7,8), lavaanify.IRT (1,2),
  tam.jml (1,4), IRT.likelihood.tam (1), IRT.factor.scores (1),
  IRT.irfprob (1)

-------------------------------------------------------------
CHANGES IN VERSION 1.1   (2014-10-19)  --  CRAN 1.1
-------------------------------------------------------------

Features:
* added user defined variance function in tam.mml and
  tam.mml.2pl
* added user defined constraints on slope parameters
  in 'tam.mml.3pl'

Bug fixes:
* fixed a bug in deviance computation in 'tam.mml.3pl' when
  stochastic nodes are used
* (hopefully) fixed computational problems in multidimensional models
  with nearly singular covariance matrix 
  (thanks to a discussion with Johannes Hartig)  

Notes:
* added a plot function 'plot.ctt' accompanying the classical test 
  theory based statistic
* fixed a bug in creation of design matrices in faceted models with
  differing categories per item (thanks to Michal Modzelewski). 
  Note that the treatment of faceted models is still not compatible
  with other software (like ConQuest). A substantial bug fix
  is planned in future TAM relaeses. 

Datasets included or modified:
* data.ctest1 (thanks to HGP)

Examples included or modified:
* tam.fit (4), tam.mml (17), tam.ctt (1)

-------------------------------------------------------------
CHANGES IN VERSION 1.0-3.18 (2014-09-08)  --  CRAN 1.0-3.18-1
-------------------------------------------------------------

Bug fixes:
* modified incorrectly calculated thresholds with 'tam.threshold'
  for multidimensional models (reported by Janine Buchholz and
  Joerg-Henrik Heine)

Notes:
* included SRMSR fit statistic in tam.modelfit
* included argument "Nsimul" in "tam.fit" which improves
  calculation of fit statistics

-------------------------------------------------------------
CHANGES IN VERSION 1.0-3 (2014-06-27)  --  CRAN 1.0-3
-------------------------------------------------------------

Features:
* included model fit statistics (Q3, SRMR, MADRESIDCOV): 'tam.modelfit'
* included 'tam.mml.3pl' for 3PL estimation, general design
  matrices for item slopes and options for discrete 
  latent variables (estimation of latent class models,
  located latent class model, skew distributions,
  mixed IRT models, cognitive diagnosis models, ...
  is now possible)
* extended tam.pv for objects of class 'tam.mml.3pl'
* speeded data preparation of faceted models a bit
* tam.se now computes standard errors for estimated slope parameters, B 
  (for irtmodel in c("2PL", "GPCM", "2PL.groups")); highly experimental 
  for irtmodel="GPCM.design"). 
* plot.tam now prints a message about the location of the exported graphics.
* plot.tam has a new argument 'items' for selecting the items to
  be displayed. RD-file adjusted.
* plot.tam has new arguments 'export.type="png"' and "export.args=list()" for 
  selecting the file type for the graphics export. The supported file types 
  are those supported by ?dev.new. The argument 'export.args=list()' is 
  for specifying a list of arguments for the export device method.
* tam.threshold has a new argument prob.lvl to set the probability level of 
  the thresholds.

Bug fixes:
* fixed a bug in pid output in object 'person' for multidimensional models
  (thanks to Sebastian Weirich)
* fixed a bug in variance estimation for multiple group 2PL models
* included 'designMatrices.mfr2' for a provisional bug fix
  for multifaceted models with differing number of categories
  per item (see Example 16 in tam.mml; thanks to Christoph Duchhardt)
* fixed a bug in 'tam.mml.mfr' for differing number of categories
  per item -> now a xsi vector with parameter fixings to values 
  of 99 is used 
* plot.tam is debugged regarding the case of missing WLEs for some 
  person (thanks to Florian Buchwald). 
* plot.tam now doesn't throw a warning when the 'Plots' directory 
  already exists.
* fixed a bug in plot.tam for cross-platform accordance (thanks to Uli Keller).
* fixed a bug in tam.fit with missing item scores
* fixed a bug in tam.jml so that ../Tutorials/6Population.htm now runs without 
  error.

Notes:
* tam.fit is experimental for objects obtained from tam.mml.mfr.
* changed convergence behavior in tam.wle (thanks to Peter Harych)
* changed item sorting in output object 'item'
* tam.mml(/.2pl/.mfr) methods now return Q, tam.mml.2pl additionaly returns
  B.fixed, basispar, E, and est.slopegroups objects. RD-file adjusted.
* tam.jml(/.jml2) do not return fit statistics anymore. Item and person fit can
  be obtained by a call to tam.fit (/.jml.fit).
* in case of multidimensional analyses, we recommend an update of 
  the R-package mvtnorm to version 0.9-99992 or higher.
* extended example 13 in tam.mml.Rd to the case of polytomous longitudinal 
  data (requested by and thanks to Florian Buchwald)
* extended example 6 in tam.mml.Rd to the specification of sum constraints 
  on the item parameters in a PCM model for differing number of categories.
* Some minor changes in RD-files (eg., irtmodel for argument 'E' in 
  tam.mml.2pl is "GPCM.design", theta value in tam.jml is "MLE in final step").

-------------------------------------------------------------
CHANGES IN VERSION 1.0-2 (2014-03-26)  --  CRAN 1.0-2   --  CRAN 1.0-2.1
-------------------------------------------------------------

* fixed a Bug in the optional specification of a B matrix
  in tam.mml.mfr
* new faster tam.mml.wle2; included Rcpp helper functions for 
  tam.mml.wle2 for fast computation; tam.mml.wle2 new 
  reference in tam.wle for objects of class tam.mml, rd-file
  adapted
* tam.mml.mfr now accepts polytomous data with more than 
  ten categories per item
* specification of response matrix in 'long format' fixed,
  see example section (thanks to Takuya Yanagida)
* some minor changes in usability (eg., pid can be specified as 
  vector, one-column matrix or data.frame)

-------------------------------------------------------------
CHANGES IN VERSION 1.0 (2014-02-02)  --  CRAN 1.0-0  --  CRAN 1.0-1
-------------------------------------------------------------

* updated DESCRIPTION and NAMESPACE due to changes in Rcpp
* change in package maintenance: Thomas Kiefer is now
  the package maintainer
* fixed a bug in item labeling in tam.se
  (thanks to Sebastian Weirich)
* fixed a bug in labeling of reduced reponse matrices in 
  tam.mml.mfr
* fixed some examples in .Rd files

-------------------------------------------------------------
CHANGES IN VERSION 0.91/0.99 (2013-11-02)  --  CRAN 0.99-7
-------------------------------------------------------------

* added 'AXsi_' as value in tam.mml, tam.mml.2pl and tam.mml.mfr
* cleaned labels in 'tam.mml.mfr' for faceted models
* included the argument 'score.resp' in tam.wle for scoring
  a new dataset different than the one which is used for item
  calibration in tam (requested by Jan Boehnke)
* added examples for applying a sum constraint of item
  parameters in 'tam.mml' (request by Kelvin Gregory)
* included argument 'adj' in tam.jml/tam.jml2 for modifying 
  the adjustment in case of perfect scores (thanks to Courtney Castle)
* included dataset 'data.timssAusTwn.scored'
* included summary for tam.jml
* use plausible values for calculation in item fit (in tam.mml.fit)
* included an example for creation of user-defined fit statistics

-------------------------------------------------------------
CHANGES IN VERSION 0.9 (2013-10-13)  --  CRAN 0.99-9
-------------------------------------------------------------

* removed blanks in item category labels in tam.ctt2 and 
  tam.ctt3
* allowed non-integer group labels
* fixed a bug in data preparation for facet models 
  which appeared since a change in TAM 0.7 
  (thanks to Jonathan Williams)

-------------------------------------------------------------
CHANGES IN VERSION 0.8 (2013-10-02)  --  CRAN 0.8-19
-------------------------------------------------------------

* changed rating scale parametrization for unequal
  number categories per item
* included a warning in tam.ctt2 if memory allocation is
  reached
* included deviance plot 'plotDevianceTAM' 
  (thanks to Sebastian Weirich)
* included tam.ctt3

-------------------------------------------------------------
CHANGES IN VERSION 0.7 (2013-09-15)  --  CRAN 0.7-35
-------------------------------------------------------------

* include crossprod in some functions
* fixed a bug for using latent regression models in
  facet model function 'tam.mml.mfr'
  (thanks to Jonathan Williams)
* included another facet example (Example 14)
* fixed a bug in tam.mml.mfr if all facets possess
  the same number of levels
* fixed a bug in multidimensional generalized partial
  credit model estimation and speeded 2PL estimation a bit
* included bifactor model and exploratory factor analysis
  -> function 'tam.fa' with arguments irtmodel='efa','bifactor'
* now printing progress in tam.ctt2 correctly
* fixed a bug in data processing in tam.mml.mfr for factor
  or string input of facets
* included more examples in tam.fit, anova.tam.mml, tam.pv,
  tam.jml, tam.se, tam.wle 
* avoided inversion of singular matrices in multidimensional
  WLE estimation tam.wle (thanks to Iasonas Lamprianou)
* removed bugs for item response datasets with only one item
  in tam.mml and tam.mml.2pl
* fixed a bug in tam.ctt2: multiple groups were not displayed 
* included an option for deleting redundant generalized items
  which sometimes improves computation speed
* cleaned the TAM manual (thanks to Michaela Mayr)
* changed output structure of tam.fa and included rotation
  examples in tam.fa.Rd
* included additional convergence stabilizing approach which
  can be activated using the argument 'fac.oldxsi' in control
  -> See Example 15 for such a non-converging model where
     changing algorithmic defaults seems necessary
   (problem addressed thanks to Sebastian Weirich) 
* substituted internal 'theta.sq' function by Rcpp based
  function 'theta.sq2'
* started with including examples similar to the ones in
  the ConQuest 2.0 manual (see data.cqc.Rd)

-------------------------------------------------------------
CHANGES IN VERSION 0.6 (2013-08-28)  --  CRAN 0.6-26
-------------------------------------------------------------

* fixed a bug when in latent regression when providing a formula
  in argument 'formulaY'
* fixed a bug in output of tam.se (thanks to Sebastian Weirich)
* included a faster alternative to tam.ctt -> tam.ctt2 is based
  on a Rcpp function
* allowed freeing beta constraints by the user by including
  the possible argument beta.fixed=FALSE
* removed a bug in data processing for faceted designs
  (thanks to Michaela Mayr)
* fixed a bug with varying string lengths of facet levels
* fixed a bug in tam.ctt2 for numeric input matrices
* fixed incorrect handling of constraints in regression coefficients
  which was just included in a recent 0.6 version
* fixed an output bug in tam.wle in multidimensional models
  (thanks to Jan Henning-Kahmann)
* accelerated estimation of multdimensional models (different
  approach of calculating the prior distribution)
* fixed a bug when submitting xsi.inits and beta.inits to tam
* fixed a bug in facet models when a facet contains only one
  element (twice thanks to Michaela Mayr)
* included irtmodel='PCM2' (partial credit model with ConQuest
  parametrization) and irtmodel='RSM' (rating scale model)
* added a longitudinal data example in 'tam.mml' manual

-------------------------------------------------------------
CHANGES IN VERSION 0.5 (2013-07-28)  --  CRAN 0.5-21
-------------------------------------------------------------

* included data.ex11 example dataset
* removed a bug in WLE calculation for multifaceted designs
* avoided warning in cov2cor for tam.mml.2pl function
  (thanks to Linda Graefe)
* included argument increment.factor for obtaining
  convergence behavior in bad suited data constellations
* changed default of np.adj in tam.pv to 8
* included two helper functions written in Rcpp in
  plausible value imputation function tam.pv for
  better performance
* included S3 plot method
* included data.numeracy and data.timssAusTwn datasets

-------------------------------------------------------------
CHANGES IN VERSION 0.4 (2013-07-01)  --  CRAN 0.04-43 
    [*** First CRAN Release ***]
-------------------------------------------------------------

* included quasi-Monte Carlo integration as an alternative
  to stochastic integration
* multifaceted model completely implemented
* print warning if there are items in resp with only zeroes
  (thanks to Ronny Scherer)
* fixed a bug in tam.wle, tam.pv and tam.se
* fixed a bug in creating design matrices for faceted designs
* changed initial xsi values for indetermined parameters
  (thanks to Sebastian Weirich)
* included function for calculating Thurstonian thresholds
* included Rcpp function in M step for calculating item parameters
* fixed a bug for partial credit models
* included parametrization of the dispersion model for ordered data
* included a function tam.ctt for calculating some statistics
  based on classical test theory
* fixed a bug in tam.mml.2pl with irtmodel="GPCM" for models
  with differering numbers of item categories

-------------------------------------------------------------
CHANGES IN VERSION 0.3 (2013-03-23)
-------------------------------------------------------------

* cleaned Rd manual files a bit
* included standard errors in tam.mml and tam.mml.2pl
* included summary.tam and summary.tam.mml
* included anova.tam for model comparisons
* fixed a bug in multiple group estimation during tam.mml and
   summary application
* fixed a bug in WLE estimation in the multdimensional case

-------------------------------------------------------------
CHANGES IN VERSION 0.2 (2013-02-20)
-------------------------------------------------------------

* removed bugs in tam.pv for sampling plausible values
  with the argument normal.approx=FALSE 
  (thanks to Sebastian Weirich)
* included seed for stochastic integration in the tam
  control argument
* fixed a bug in stochastic integration
  (thanks to Steffen Brandt)
* fixed a bug in the calculation of reliability and person
  parameter estimates when applying stochastic integration
  (thanks to Steffen Brandt and Caroline Just)
* use estimated parameters with minimal deviance in the output
  (thanks to Ulrich Schroeders and Steffen Brandt)

-------------------------------------------------------------
CHANGES IN VERSION 0.1-03 (2012-11-21)
-------------------------------------------------------------

* 2PL calibration outsourced
* designMatrices and tam.mml.mfr method for multifacet rasch model 
  calibration included. Both highly experimental.
* Examples for the calibration included, see help file of sim.mfr
 
