Package: cvms
Title: Cross-Validation for Model Selection
Version: 0.3.0
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: data.table (>= 1.12), dplyr, plyr, tidyr (>= 0.8.3), ggplot2,
        purrr, tibble (>= 2.1.1), caret (>= 6.0-84), pROC (>= 1.14.0),
        stats, lme4 (>= 1.1-21), MuMIn (>= 1.43.6), broom (>= 0.5.2),
        stringr, mltools (>= 0.3.5), rlang, utils, lifecycle
Suggests: knitr, groupdata2 (>= 1.1.2), e1071 (>= 1.7-2), rmarkdown,
        testthat (>= 2.2.1), AUC, furrr, ModelMetrics (>= 1.2.2), covr
        (>= 3.3.1), nnet (>= 7.3-12), randomForest (>= 4.6-14)
VignetteBuilder: knitr
RdMacros: lifecycle
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-09-28 23:19:24 UTC; ludvigolsen
Author: Ludvig Renbo Olsen [aut, cre],
  Benjamin Hugh Zachariae [aut]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>
Repository: CRAN
Date/Publication: 2019-09-29 04:20:03 UTC
