_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-cvms 1.7.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-stringr@1.5.1 r-rlang@1.1.4 r-recipes@1.1.0 r-rearrr@0.3.4 r-purrr@1.0.2 r-proc@1.18.5 r-plyr@1.8.9 r-parameters@0.23.0 r-mumin@1.48.4 r-lme4@1.1-35.5 r-lifecycle@1.0.4 r-groupdata2@2.0.5 r-ggplot2@3.5.1 r-dplyr@1.1.4 r-data-table@1.16.2 r-checkmate@2.3.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ludvigolsen/cvms
Licenses: Expat
Synopsis: Cross-Validation for Model Selection
Description:

Cross-validate one or multiple regression and classification 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. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).

Total results: 1