manymodelr 0.3.8

• Fixed issues with extracting groups for a future version of R.

• The minimum required R version was updated to 4.4.

• A new function report_model was introduced to allow simple model reports. See ?report_model for details and documentation.

• We now use testthat edition 3 which makes it easier to deal with warnings and errors in a cleaner way. See https://github.com/r-lib/testthat/issues/1471, https://github.com/Nelson-Gon/manymodelr/pull/22.

manymodelr 0.3.7

• We no longer use any URLs in vignettes to avoid issues with CRAN checks.

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

1. plot_corr has been added to allow plotting of correlation matrices produced by get_var_corr_.

2. na_replace_grouped extends na_replace by allowing replacement of missing values(NAs) by group.

3. add_model_predictions allows addition of predicted values to a data set.

4. add_model_residuals is an easy to use and dplyr compatible wrapper that allows addition of residuals to a data set.

5. 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.

6. 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

1. modeleR has been replaced with fit_model which is an easier to remember name. Usage remains the same.

2. fit_model no longer allows direct addition of predictions. Use add_model_predictions to achieve the same.

3. na_replace has been extended to allow for user defined values.

4. rowdiff now accepts replacement of the calculation induced NAs. It does so by using na_replace.

5. get_var_corr_ now supports using only a subset of the data.

6. Helper functions are no longer exported.

7. get_data_Stats is now aliased with get_stats for ease.

8. 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

1. agg_by_group is a new function that manipulates grouped data. It is fast and robust for many kinds of functions.

2. rowdiff is another new function that enable one to find differences between rows in a data.frame object. `

3. get_var_corr provides a user-friendly way to find correlations between data.

4. 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.

5. get_this is an easy to use helper function to get metrics,predictions, etc. Currently supports lists and data.frame objects.

6. modeleR and row_mean_na were removed.

Major Modifications

6. get_data_Stats now supports removal of missing data as well as using only numeric data.

7. modeleR has been fixed to handle new data as expected. It also now supports glm.

8. multi_model_1 now supports either validation or working with new data.

9. row_mean_na has been replaced with na_replace which is more robust. row_mean_na will be removed in future versions.