cvms: cvms: A package for cross-validating regression and...
In cvms: Cross-Validation for Model Selection
cvms R Documentation
cvms: A package for cross-validating regression and classification models
Description
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.
Details
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().
Author(s)
Ludvig Renbo Olsen, r-pkgs@ludvigolsen.dk
cvms documentation built on July 9, 2023, 6:56 p.m.
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| cvms | R Documentation |
cvms: A package for cross-validating regression and classification models
Description
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.
Details
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().
Author(s)
Ludvig Renbo Olsen, r-pkgs@ludvigolsen.dk
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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