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

Documentation:

Reference manual:

fdm2id.html , fdm2id.pdf

Downloads:

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

Reverse dependencies:

Reverse suggests:

bark, rSDR

Linking:

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