Package: fdm2id
Title: Data Mining and R Programming for Beginners
Version: 0.9.3
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, mclust, nnet, pls
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: car, caret, class, cluster, e1071, FactoMineR, flexclust, fpc,
        glmnet, graphics, grDevices, ibr, irr, kohonen, leaps, MASS,
        mda, meanShiftR, methods, questionr, randomForest, ROCR, rpart,
        Rtsne, SnowballC, stats, text2vec, stopwords, utils, wordcloud,
        xgboost
Suggests: datasets, fds
Enhances: NMF
NeedsCompilation: no
Packaged: 2020-03-12 13:58:09 UTC; blansche
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>
Repository: CRAN
Date/Publication: 2020-03-12 14:40:02 UTC
Built: R 3.5.3; ; 2020-04-22 09:36:37 UTC; windows
