Package: mlearning
Type: Package
Version: 1.2.1
Title: Machine Learning Algorithms with Unified Interface and Confusion
        Matrices
Description: A unified interface is provided to various machine learning
  algorithms like linear or quadratic discriminant analysis, k-nearest
  neighbors, random forest, support vector machine, ... It allows to train,
  test, and apply cross-validation using similar functions and function
  arguments with a minimalist and clean, formula-based interface. Missing data
  are processed the same way as base and stats R functions for all algorithms,
  both in training and testing. Confusion matrices are also provided with a rich
  set of metrics calculated and a few specific plots.
Authors@R: c(
  person("Philippe", "Grosjean", role = c("aut", "cre"),
    email = "phgrosjean@sciviews.org",
    comment = c(ORCID = "0000-0002-2694-9471")),
  person("Kevin", "Denis", role = "aut",
    email = "kevin.denis@umons.ac.be"))
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>
Depends: R (>= 3.0.4)
Imports: stats, grDevices, class, nnet, MASS, e1071, randomForest,
        ipred, rpart
Suggests: mlbench, datasets, RColorBrewer, spelling, knitr, rmarkdown,
        covr
URL: https://www.sciviews.org/mlearning/
BugReports: https://github.com/SciViews/mlearning/issues
License: GPL (>= 2)
RoxygenNote: 7.2.3
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-08-30 18:46:17 UTC; phgrosjean
Author: Philippe Grosjean [aut, cre] (<https://orcid.org/0000-0002-2694-9471>),
  Kevin Denis [aut]
Repository: CRAN
Date/Publication: 2023-08-30 19:10:02 UTC
Built: R 4.6.0; ; 2026-04-29 05:06:37 UTC; unix
