fdm2id: Data Mining and R Programming for Beginners

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".

Version: 0.9.3
Depends: R (≥ 3.5.0), arules, mclust, nnet, pls
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
Published: 2020-03-12
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche at univ-lorraine.fr>
License: GPL-3
NeedsCompilation: no
CRAN checks: fdm2id results


Reference manual: fdm2id.pdf
Package source: fdm2id_0.9.3.tar.gz
Windows binaries: r-devel: fdm2id_0.9.3.zip, r-release: fdm2id_0.9.3.zip, r-oldrel: fdm2id_0.9.3.zip
macOS binaries: r-release: fdm2id_0.9.3.tgz, r-oldrel: fdm2id_0.9.3.tgz
Old sources: fdm2id archive


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