cvms: A package for cross-validating regression and classification models
Perform (repeated) cross-validation on a list of model formulas. Validate the best model on a validation set. Perform baseline evaluations on your test set. Generate model formulas by combining your fixed effects. Evaluate predictions from an external model. package
Returns results in a tibble for easy comparison, reporting and further analysis.
The main functions are: cross_validate(), cross_validate_fn(), validate(), validate_fn(), baseline(), and evaluate().
Useful links:
Ludvig Renbo Olsen, r-pkgs@ludvigolsen.dk