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: 0.9.9
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
Published: 2023-06-12
DOI: 10.32614/CRAN.package.fdm2id
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_0.9.9.tar.gz
Windows binaries: r-devel: fdm2id_0.9.9.zip, r-release: fdm2id_0.9.9.zip, r-oldrel: fdm2id_0.9.9.zip
macOS binaries: r-release (arm64): fdm2id_0.9.9.tgz, r-oldrel (arm64): fdm2id_0.9.9.tgz, r-release (x86_64): fdm2id_0.9.9.tgz, r-oldrel (x86_64): fdm2id_0.9.9.tgz
Old sources: fdm2id archive


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