Package: fdm2id
Title: Data Mining and R Programming for Beginners
Version: 0.9.9
Authors@R: person("Alexandre", "Blansché", email = "alexandre.blansche@univ-lorraine.fr", role = c("aut", "cre"))
Description: Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Depends: R (>= 3.5.0), arules, arulesViz, FactoMineR
Imports: mclust, methods, nnet, pls
Suggests: car, caret, class, cluster, datasets, e1071, fds, flexclust,
        fpc, glmnet, graphics, grDevices, ibr, irr, kohonen, leaps,
        MASS, mda, meanShiftR, questionr, randomForest, ROCR, rpart,
        rpart.plot, Rtsne, SnowballC, stats, text2vec, stopwords,
        utils, wordcloud, xgboost
Enhances: NMF
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-06-12 12:33:26 UTC; blansche
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>
Repository: CRAN
Date/Publication: 2023-06-12 13:10:02 UTC
Built: R 4.5.1; ; 2025-06-22 10:17:08 UTC; unix
