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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