NEWS.md
cat2cat_ml_run function to check the ml models performance before cat2cat with ml option is run. Now, the ml models are more transparent.ropensci standards, like CONTRIBUTING file and testthat version 3.cat2cat_agg has updated cat_var argument to two new ones, cat_var_old and cat_var_new.master to main branch.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.data and library calls style.cat2cat function.dummy_c2c to be backward compatible.cat_apply_freq function performance.ml argument in the dummy_c2c function is redefined, shorter names for a simpler usage.cat2cat ml part is using direct cat_var for target (for an update) dataset now, not the one from the ml argument list.cat2cat validation, if the trans table covers all needed levels.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.dummy_c2c to add a default cat2cat columns to a data.frame.occupand occup_small datasets have 4 periods now.pkgdown reference.cat2cat function, the ml part is assuming that categorical variable is always named “code”.cat2cat function.randomForest packages to Suggests, they are delayed loaded now.