Package: agghoo Encoding: UTF-8 Title: Aggregated Hold-Out Cross Validation Date: 2023-05-23 Version: 0.1-0 Description: The 'agghoo' procedure is an alternative to usual cross-validation. Instead of choosing the best model trained on V subsamples, it determines a winner model for each subsample, and then aggregates the V outputs. For the details, see "Aggregated hold-out" by Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle (2021) published in Journal of Machine Learning Research 22(20):1--55. Authors@R: c( person("Sylvain", "Arlot", role = "ctb"), person("Benjamin", "Auder", role = c("aut", "cre", "cph"), email = "benjamin.auder@universite-paris-saclay.fr"), person("Melina", "Gallopin", role = "ctb"), person("Matthieu", "Lerasle", role = "ctb"), person("Guillaume", "Maillard", role = "ctb") ) Depends: R (>= 3.5.0) Imports: class, parallel, R6, rpart, FNN Suggests: roxygen2, mlbench URL: https://git.auder.net/?p=agghoo.git License: MIT + file LICENSE RoxygenNote: 7.2.3 Collate: 'utils.R' 'checks.R' 'R6_Model.R' 'R6_AgghooCV.R' 'agghoo.R' 'compareTo.R' NeedsCompilation: no Packaged: 2026-10-15 11:01:55 UTC; root Author: Sylvain Arlot [ctb], Benjamin Auder [aut, cre, cph], Melina Gallopin [ctb], Matthieu Lerasle [ctb], Guillaume Maillard [ctb] Maintainer: Benjamin Auder Repository: https://cranhaven.r-universe.dev Date/Publication: 2026-09-15 02:02:00 UTC RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev RemoteRef: package/agghoo RemoteSha: 4d44430315d0bbdc3bed2669a5ccbfedaac7e9fe RemoteSubdir: agghoo