mantar 0.2.0

Change of argument names and input

The argument k, which controlled the penalty term in information-criterion calculations, has been removed for security reasons. Instead, the penalty type is now specified via the argument ic_type (see the corresponding help pages).

Changed the default handling of the ridge penalty in the multiple-imputation pmm workflow when looking for donors through regressions (mice). Instead of forcing ridge = 0, the function now uses the default value defined by mice, ensuring consistent and method-appropriate regularization.

Added function reg_network() for network estimation using regularization, supporting both convex and non-convex penalties as well as multiple options for computing the likelihood in the information criterion when missing values are present.
Added function ordered_suggest(), a heuristic procedure for identifying variables that may be treated as ordered categorical based on their distribution and available information.
Added dummy data sets mantar_dummy_full_cat and mantar_dummy_mis_cat, containing only ordered categorical variables (with and without missing values).
Added dummy data sets mantar_dummy_full_mix and mantar_dummy_mis_mix, containing mixtures of ordered categorical and continuous variables (with and without missing values).

Added support for treating variables as ordered categorical in the estimation of correlations.
Renamed dummy data sets to mantar_dummy_full_cont and mantar_dummy_mis_cont to better reflect that they contain only continuous variables.
Improved documentation for several functions and updated the README to reflect new functionality.