cvms (0.1.2)

Cross-Validation for Model Selection.

Cross-validate 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. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).

Maintainer: Ludvig Renbo Olsen
Author(s): Ludvig Renbo Olsen [aut, cre], Benjamin Hugh Zachariae [aut]

License: MIT + file LICENSE

Uses: AICcmodavg, broom, caret, data.table, dplyr, ggplot2, lme4, mltools, MuMIn, plyr, pROC, purrr, rlang, stringr, tibble, tidyr, e1071, testthat, knitr, AUC, rmarkdown, covr, ModelMetrics, groupdata2, furrr

Released 4 months ago.