DESCRIPTION

Package: resamplr
Type: Package
Title: Resampling methods
Version: 0.0.1
Authors@R: c(person("Jeffrey", "Arnold", role = c("aut", "cre"),
                    email = "jeffrey.arnold@gmail.com"),
             person("Hadley", "Wickham", role = "ctb",
                    comment = "Some code extracted from the modelr package"),
             person("Angelo", "Canty", role = "ctb",
                    comment = "Some code extracted from the boot package"),
             person("Brian", "Ripley", role = "ctb",
                    comment = "Some code extracted from the boot package"),
             person("Achim", "Zeileis", role = "ctb",
                    comment = "Some code extracted from rollapply in the zoo package"))
Description: Additional resampling methods for the 'resampler' class in the 'modelr' package.
  Resampling and similar methods implemented include: bootstrap methods (simple bootstrap,
  weighted bootstrap, balanced bootstrap, moving-blocks bootstrap),
  test-training splits, cross-validation (leave-one-out, leave-p-out, 
  k-fold, time-series k-fold, time series rolling windows),
  jackknife (delete-one and delete-p), permutations, and rolling windows.
  These are implemented as generic functions which include a grouped data method
  that implements group-wise or stratified versions of all the above.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports:
  assertthat,
  combinat,
  dplyr,
  modelr,
  purrr,
  stringr,
  tibble
Suggests:
  boot,
  broom,
  knitr,
  MASS,
  rmarkdown,
  testthat,
  tidyverse
VignetteBuilder: knitr