galamm 0.4.1
galamm has been peer reviewed and accepted by rOpenSci, and the
repository has moved to https://github.com/ropensci/galamm. This release
contains the changes made during and after that review. There are no
changes to the user-facing model fitting functions.
- All links to the source repository, including the continuous
integration and test coverage badges, now point to the repository under
the rOpenSci organization.
- The package website has moved to https://docs.ropensci.org/galamm/,
and is now built centrally by rOpenSci. All documentation links have
been updated accordingly, and the package no longer deploys a website of
its own.
- The pkgdown configuration now requests MathJax explicitly, so that
the mathematical notation in the vignettes renders reliably on the new
website.
- The bundled code of conduct has been removed, since rOpenSci’s code
of conduct at https://ropensci.org/code-of-conduct/ now applies. The
contributing guidelines link to it instead.
- The README describes how to install development versions from the
rOpenSci R-universe.
galamm 0.4.0
- Vignettes are updated to better demonstrate model checking
possibilities.
- A qqmath() function has now been added, which makes
quantile-quantile plots.
- residuals.galamm() now has a “scaled = TRUE/FALSE” argument.
- plot.galamm() has been considerably extended.
galamm 0.3.0
- The expected output of a unit test has been changed.
- A bug in the computation of deviance residuals has been
corrected.
- A bug in the computation of Pearson residuals for non-Gaussian
models has been corrected.
- The plot() function now takes an optional argument for the type of
residuals to plot.
- The family_mapping argument for mixed response types has been
deprecated. Use the gfam() function instead.
- Argument weights to galamm has been renamed to dispformula. The old
name weights will work for a while, but a deprecation warning will be
issued.
- Improved tests.
- Improved error messages.
- Argument load.var to galamm has been renamed to load_var. The old
name load_var will work for a while, but a deprecation warning will be
issued.
galamm 0.2.3
- A bug causing heteroscedastic models with more than two groups to
fail has been solved. Thanks to Espen Moen Eilertsen for reporting the
issue.
- Have rerun all vignettes. There are some minor changes in the
formatting of summary(model), due to changes in lme4.
galamm 0.2.2
- Internal fix to avoid warning about uninitialized variables.
- New function response() returns the response used for fitting the
model.
- New print.galamm() function which is an alias for
print(summary(galamm_obj)).
- Rank deficient fixed effect matrices now leads to an error.
Previously only a message was written that the redundant columns were
dropped.
galamm version 0.2.1
- Software paper in Multivariate Behavioral Research has been added to
the recommended citation.
galamm version 0.2.0
- The print.summary.galamm() method does no longer print residual
percentiles with mixed response models. The version implemented until
now had a bug, and it is not clear how to present this information in a
useful way.
- Fixed bug causing galamm() to fail with mixed response types, when
the first argument to “family” was not “gaussian”.
- BREAKING CHANGE: argument “factor”, “factor_interaction” and
“lambda” to galamm should no longer be enclosed in a list.
- A vignette investigating computational scalability has been
added.
- formula.galamm() method has been added, inheriting from
stats::formula().
- nobs.galamm() function is now exported.
- na.action argument has been added to galamm().
- input validation has been extended.
- all internal functions have been documented, using the @noRd tag to suppress
generation of markdown.
galamm version 0.1.1
- Fixed bug causing galamm to fail on R4.2.3.
- Fixed memory issues in C++ code.
- In the smooth terms sl() and t2(), the argument ‘load_var’ has been
renamed to ‘factor’, to correspond with the remaining factor
arguments.
galamm version 0.1.0
Initial version.