DESCRIPTION

   1 Package: agghoo
   2 Title: Aggregated Hold-out Cross Validation
   3 Date: 2021-06-05
   4 Version: 0.1-0
   5 Description: The 'agghoo' procedure is an alternative to usual cross-validation.
   6     Instead of choosing the best model trained on V subsamples, it determines
   7     a winner model for each subsample, and then aggregate the V outputs.
   8     For the details, see "Aggregated hold-out" by Guillaume Maillard,
   9     Sylvain Arlot, Matthieu Lerasle (2021) <arXiv:1909.04890>
  10     published in Journal of Machine Learning Research 22(20):1--55.
  11 Author: Sylvain Arlot <sylvain.arlot@universite-paris-saclay.fr> [cph,ctb],
  12     Benjamin Auder <benjamin.auder@universite-paris-saclay.fr> [aut,cre,cph],
  13     Melina Gallopin <melina.gallopin@universite-paris-saclay.fr> [cph,ctb],
  14     Matthieu Lerasle <matthieu.lerasle@universite-paris-saclay.fr> [cph,ctb],
  15     Guillaume Maillard <guillaume.maillard@uni.lu> [cph,ctb]
  16 Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
  17 Depends:
  18     R (>= 3.5.0)
  19 Imports:
  20     R6,
  21     caret,
  22     rpart,
  23     randomForest,
  24     FNN
  25 Suggests:
  26     roxygen2
  27 URL: https://git.auder.net/?p=agghoo.git
  28 License: MIT + file LICENSE
  29 RoxygenNote: 7.1.1
  30 Collate:
  31     'agghoo.R'
  32     'R6_AgghooCV.R'
  33     'R6_Model.R'
  34     'A_NAMESPACE.R'