The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fdm2id to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.