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NEWS.md

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cat2cat 0.4.7

  • New cat2cat_ml_run function to check the ml models performance before cat2cat with ml option is run. Now, the ml models are more transparent.
  • Add tests for cat2cat related journal (softwarex) paper.
  • Add CITATION file.
  • Internal changes to make the code base more clear.
  • Replace itemize with describe in the latex documentation.

cat2cat 0.4.6

  • Add some ropensci standards, like CONTRIBUTING file and testthat version 3.
  • Add LICENSE file.
  • Update DESCRIPTION file.
  • Update outdated URLs.
  • cat2cat_agg has updated cat_var argument to two new ones, cat_var_old and cat_var_new.
  • Rename the master to main branch.
  • Improve tests and lintr related issues.

cat2cat 0.4.5

  • The freqs_df argument in the cat2cat function is moved from data to mappings part, it is backward compatible. Now it is consistent with the python cat2cat implementation.
  • pkgcheck related fixes, like 80 chars per line.
  • Improve data and library calls style.

cat2cat 0.4.4

  • Fix example in the cat2cat function.
  • Improve documentation.
  • Improve validation.

cat2cat 0.4.3

  • Fix dummy_c2c to be backward compatible.
  • Add more tests for base utils functions.
  • Improve cat_apply_freq function performance.
  • Improve documentation.
  • Improve validation.

cat2cat 0.4.2

  • The ml argument in the dummy_c2c function is redefined, shorter names for a simpler usage.
  • The cat2cat ml part is using direct cat_var for target (for an update) dataset now, not the one from the ml argument list.
  • Improve procedure graphs.

cat2cat 0.4.1

  • additional cat2cat validation, if the trans table covers all needed levels.
  • documentation and tests improvements.

cat2cat 0.4.0

  • new syntax of the ml and data argument in the cat2cat::cat2cat function, two additional arguments each.
  • prune_c2c scales the weights now, so still sum to one for each subject.
  • new function dummy_c2c to add a default cat2cat columns to a data.frame.
  • occupand occup_small datasets have 4 periods now.
  • add the 4 periods example to the vignette.
  • custom pkgdown reference.

cat2cat 0.3.3

  • improve the pkgdown website.
  • deparse instead of deparse1.

cat2cat 0.3.2

  • tinyverse world, even less dependencies.

cat2cat 0.3.1

  • updated README file.
  • improved covr and tests.
  • updated vignette.

cat2cat 0.3.0

  • fixed the cat2cat function, the ml part is assuming that categorical variable is always named "code".
  • fixed problems when using only one feature in the ml part of cat2cat function.
  • persist NA values in a categorical variable in the cat2cat function.
  • updated vignette.
  • improved roxygen2 docs.
  • transferred caret and randomForest packages to Suggests, they are delayed loaded now.
  • styler of the code.
  • more readable code.
  • removed data.table from Imports.

cat2cat 0.2.1

  • usage of summary_c2c with the default df_new argument.
  • plot_c2c roxygen2

cat2cat 0.2.0

  • plot_c2c

cat2cat 0.1.9

  • vignette improvements

cat2cat 0.1.8

  • pt inside summary_c2c
  • VignetteIndexEntry

cat2cat 0.1.7

  • URL for doi in vignettes

cat2cat 0.1.6

  • basic vignette
  • rm .internal.selfref attr for mapped df
  • assertthat instead of stopifnot

cat2cat 0.1.5

  • data.R adding set.seed
  • lack of a one bracket in description file

cat2cat 0.1.4

  • remove the unnecessary imports in the DESCRIPTION file

cat2cat 0.1.3

  • Title reduce to less than 65 characters.
  • doi of journal paper added to a description section in the DESCRIPTION file.
  • unnecessary dontrun in data.R were removed.

cat2cat 0.1.2

  • occup_small dataset to pass checks in terms of computation time of examples.
  • data.table rbindlist.
  • optimize for loop for ml models.

cat2cat 0.1.1

  • Title format in Description file.
  • spelling.

cat2cat 0.1.0

  • More ml methods for cat2cat function - "knn", "rf", "lda".
  • prune_c2c and cross_c2c to improve processing of results.
  • Enable cat2cat for panel with unique identifier.
  • Turn on github actions - covr, pkgdown, check.
  • Preparation before R CRAN.