Package: fdm2id
Title: Data Mining and R Programming for Beginners
Version: 1.0.0
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, nnet
Imports: graphics, grDevices, Matrix, mclust, methods, pls, stats,
        utils
Suggests: car, caret, class, cluster, datasets, e1071, fds, flexclust,
        fpc, glmnet, ibr, irr, knitr, kohonen, leaps, MASS, mda,
        meanShiftR, mlbench, questionr, randomForest, rmarkdown,
        RSpectra, ROCR, rpart, rpart.plot, Rtsne, SnowballC, stopwords,
        testthat (>= 3.0.0), text2vec, wordcloud, xgboost (>= 2.1.0)
Enhances: NMF
License: GPL-3
Encoding: UTF-8
LazyData: true
Config/roxygen2/version: 8.1.0
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-27 13:42:34 UTC; blansche
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>
Repository: CRAN
Date/Publication: 2026-08-28 07:01:00 UTC
Built: R 4.5.3; ; 2026-08-28 21:34:07 UTC; windows
