Package: fdm2id
Title: Data Mining and R Programming for Beginners
Version: 0.9.0
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), arules, FactoMineR, mclust, nnet, pls
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: car, caret, class, cluster, e1071, flexclust, fpc, glmnet,
        graphics, grDevices, ibr, irr, kohonen, leaps, MASS, mda,
        meanShiftR, methods, NMF, questionr, randomForest, ROCR, rpart,
        Rtsne, SnowballC, stats, text2vec, stopwords, utils, wordcloud,
        xgboost
Suggests: datasets, fds
NeedsCompilation: no
Packaged: 2019-09-20 13:35:32 UTC; blansche
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>
Repository: CRAN
Date/Publication: 2019-09-20 14:00:02 UTC
