title: “manymodelr-News” author: “Nelson Gonzabato” output: htlm_document
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.
Minor bug fixes with respect to the vignette.
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.