Nelson-Gon/manymodelr: manymodelr 0.3.6
NelsonGon · Zenodo (CERN European Organization for Nuclear Research) · 2021
manymodelr 0.3.6 Updated all examples to use the new dataset, yields. Topic based vignettes are now available. Added a new dataset yields that may be useful for testing purposes. Fixed issues with knitr causing failing builds. Updated docs with newer examples. manymodelr 0.3.5 Extended fit_models to support model fitting for several variables for several model types. manymodelr 0.3.2 Patch related to failing tests on old R releases, skip tests on these. manymodelr 0.3.1 Fixed issues for CRAN manymodelr 0.3.0 Major additions extract_model_info now supports glmerMod and glmmTMB get_this now works with numeric input and also supports data.frame objects. fit_models extends fit_model by building many models at once. Other changes get_stats now drops columns via a vector and not "non_numeric" as previously. Metrics from multi_model_1 are now more informative with the metric and method wrapped in the naming of the result. df was renamed as old_data in multi_model_1, newdata to new_data. plot_corr now directly accepts data.frame objects. Arguments like round_values have also been dropped. Fixed DOI to Max Kuhn's paper Refactored get_mode to be tidy compliant. The argument valid was dropped in multi_model_1. get_all was dropped in select_percentile. select_col, select_percentile, row_mean_na will be removed in the next release. row_mean_na is now defunct. Use na_replace instead. na_replace no longer allows using functions such as mean,min, etc. These have been reimplemented in the package mde modeleR is now defunct. Use fit_model instead. get_this no longer accepts non quoted character strings. Better coverage and code tests manymodelr 0.2.4 Fixes paper citation manymodelr 0.2.3 New functions plot_corr has been added to allow plotting of correlation matrices produced by get_var_corr_. na_replace_grouped extends na_replace by allowing replacement of missing values(NAs) by group. add_model_predictions allows addition of predicted values to a data set. add_model_residuals is an easy to use and dplyr compatible wrapper that allows addition of residuals to a data set. extract_model_info allows easy extraction of common model attributes such as p values, residuals, coefficients, etc as per the specific model type. It supports extraction of multiple attributes. multi_model_2 allows fitting and predicting in one function. It is similar to multi_model_1 except it does not require metrics. Major Changes modeleR has been replaced with fit_model which is an easier to remember name. Usage remains the same. fit_model no longer allows direct addition of predictions. Use add_model_predictions to achieve the same. na_replace has been extended to allow for user defined values. rowdiff now accepts replacement of the calculation induced NAs. It does so by using na_replace. get_var_corr_ now supports using only a subset of the data. Helper functions are no longer exported. get_data_Stats is now aliased with get_stats for ease. get_var_corr no longer has the get_all argument. Instead, users can provide an option other_vars vector of subset columns. drop_columns has also been changed from boolean to a character vector. manymodelr 0.2.2 Minor bug fixes with respect to the vignette. manymodelr 0.2.1 Major Changes Additions agg_by_group is a new function that manipulates grouped data. It is fast and robust for many kinds of functions. rowdiff is another new function that enable one to find differences between rows in a data.frame object. ` get_var_corr provides a user-friendly way to find correlations between data. get_var_corr_ provides a user-friendly way to find combination-wise correlations. It is relatively fast depending on how big one's data is and/or machine specifications. get_this is an easy to use helper function to get metrics,predictions, etc. Currently supports lists and data.frame objects. modeleR and row_mean_na were removed. Major Modifications get_data_Stats now supports removal of missing data as well as using only numeric data. modeleR has been fixed to handle new data as expected. It also now supports glm. multi_model_1 now supports either validation or working with new data. row_mean_na has been replaced with na_replace which is more robust. row_mean_na will be removed in future versions.