Cross-Validation for Model Selection

Run cross-validation of one or multiple regression models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Currently supports Gaussian and binomial regression. Described in chp. 5 of Jeyaraman, B., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).


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install.packages("cvms")

0.1.0 by Ludvig Renbo Olsen, 15 days ago


https://github.com/ludvigolsen/cvms


Report a bug at https://github.com/ludvigolsen/cvms/issues


Browse source code at https://github.com/cran/cvms


Authors: Ludvig Renbo Olsen [aut, cre] , Benjamin Hugh Zachariae [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports data.table, dplyr, plyr, tidyr, ggplot2, purrr, tibble, caret, pROC, stats, lme4, MuMIn, AICcmodavg, broom, stringr, mltools, rlang

Suggests knitr, groupdata2, e1071, rmarkdown, testthat, AUC, furrr, ModelMetrics


See at CRAN