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: 2026-07-03 07:04:03 UTC; root
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libglpk-dev make libicu-dev libjpeg-dev libpng-dev libuv1-dev
        libxml2-dev libssl-dev zlib1g-dev
Repository: https://blansche.r-universe.dev
Date/Publication: 2023-06-12 12:10:02 UTC
RemoteUrl: https://github.com/cran/fdm2id
RemoteRef: HEAD
RemoteSha: c55e577541b49e878f581b44dd2a8bae205779d0