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).


Reference manual

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0.1.0 by Ludvig Renbo Olsen, 15 days ago

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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