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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:

Please use the canonical formhttps://CRAN.R-project.org/package=fdm2idto link to this page.


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