Package: cvms
Title: Cross-Validation for Model Selection
Version: 1.0.1
Authors@R: 
    c(person(given = "Ludvig Renbo",
             family = "Olsen",
             role = c("aut", "cre"),
             email = "r-pkgs@ludvigolsen.dk"),
      person(given = "Benjamin Hugh",
             family = "Zachariae",
             role = "aut"))
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).
License: MIT + file LICENSE
URL: https://github.com/ludvigolsen/cvms
BugReports: https://github.com/ludvigolsen/cvms/issues
Depends: R (>= 3.5)
Imports: broom (>= 0.5.5), checkmate (>= 2.0.0), data.table (>= 1.12),
        dplyr (>= 0.8.5), ggplot2, lifecycle, lme4 (>= 1.1-23), MuMIn
        (>= 1.43.15), plyr, pROC (>= 1.16.0), purrr, recipes (>=
        0.1.10), rlang (>= 0.4.0), stats, stringr, tibble (>= 2.1.1),
        tidyr (>= 1.0.2), utils
Suggests: AUC, covr (>= 3.3.1), e1071 (>= 1.7-2), furrr, ggimage (>=
        0.2.7), groupdata2 (>= 1.2.0), knitr, nnet (>= 7.3-12),
        randomForest (>= 4.6-14), rmarkdown, rsvg, testthat (>= 2.3.2),
        xpectr (>= 0.3.0)
VignetteBuilder: knitr
RdMacros: lifecycle
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-17 22:36:12 UTC; ludvigolsen
Author: Ludvig Renbo Olsen [aut, cre],
  Benjamin Hugh Zachariae [aut]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>
Repository: CRAN
Date/Publication: 2020-04-19 09:30:02 UTC
Built: R 3.5.3; ; 2020-04-22 00:11:38 UTC; windows
