Package: mlearning
Type: Package
Title: Machine Learning Algorithms with Unified Interface and Confusion
        Matrices
Version: 1.1.1
Date: 2022-04-26
Author: Philippe Grosjean [aut, cre],
  Kevin Denis [aut]
Authors@R: c(person("Philippe", "Grosjean", role = c("aut", "cre"),
  email = "phgrosjean@sciviews.org"),
  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
Suggests: mlbench, datasets, RColorBrewer
Description: A unified interface is provided to various machine learning
  algorithms like LDA, QDA, k-nearest neighbour, LVQ, random forest, SVM, ... 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 threated 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.
License: GPL (>= 2)
URL: https://www.sciviews.org/mlearning/
NeedsCompilation: no
Packaged: 2022-04-26 09:22:32 UTC; phgrosjean
Repository: CRAN
Date/Publication: 2022-04-26 11:40:05 UTC
Built: R 4.1.3; ; 2023-04-17 17:37:02 UTC; windows
