miceFast 0.8.5

• cran related update, OMP_THREAD_LIMIT.

miceFast 0.8.4

• fixed CRAN Notes.
• style the cpp code.
• VIF() should be more stable.

miceFast 0.8.2

• simplified naive_fill_NA, It is a regular sampling imputation now.
• Fixed dontrun examples.
• replace ggplot2::aes_string with ggplot2::aes, as the former is depreciated.
• regenerate performance benchmarks on R 4.2.1.
• styler over the code.
• improve documentation.

miceFast 0.8.1

• tinyverse world, less dependencies.
• fixed imputations for character variables under linear models.
• speed up the pmm model.
• more tests, higher covr.
• rerun performance tests.

miceFast 0.7.1

• update URL inside README.

miceFast 0.7.0

• improve coverage.
• use drop = FALSE when subsetting the data.frame
• healthy DESCRIPTION file, fix spaces.
• more input validation.

miceFast 0.6.8

• update broken vignette links

miceFast 0.6.6

• solve broken UpSetR::upset reference links

miceFast 0.6.5

• upset_NA based on UpSetR::upset plot function
• compare_imp plot function
• new logo
• remove times argument

miceFast 0.6.2

• R CRAN r-oldrel-windows-ix86+x86_64 problems

miceFast 0.6.1

• lifecycle problems

miceFast 0.6.0

• fill_NA_N has a new model which is pmm - predictive mean matching
• fast PMM - presorting and binary search
• naive_fill_NA - auto function for data.frames - bayes mean and lda
• ridge argument for lm models - adding small disturbance to diag of X’X
• lm_bayes provide more disturbance
• new tests
• codecov

miceFast 0.5.1

• remove old urls form vignettes

miceFast 0.5.0

• providing a more comfortable environment for data.table/dplyr users
• expand vignette and documentation
• updated performance benchmarks
• fix a glitch - e.g. lack of correct warning for a lda model with zero variance variables

miceFast 0.2.1-3

• data.table problem - jump to R 3.5.0
• valgrind - a lot of optimizations - problem with arma::exp and arma::randn
• optimize a lot of code
• methods/functions resistant to glitches

miceFast 0.2.0

• fix imputations with a grouping variable - error if there is precisly one NA at any group
• add data.table to benchmarks - model with a grouping variable
• add R functions (fill_NA_N,fill_NA,VIF) which could be used by a data.table user

miceFast 0.1.0

• add impute_N method - optimized multiple imputations
• add vif method - Variance inflation factors

miceFast 0.0.3

• vignette,readme,description,todo

miceFast 0.0.2

• adjust to solaris
• reference - set a grouping variable by a reference but as a numeric vector - integer vector do not work (randomly lost pointer)

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