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: |
0.9.6 |
| 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: |
2021-10-29 |
| Author: |
Alexandre Blansché [aut, cre] |
| Maintainer: |
Alexandre Blansché <alexandre.blansche at univ-lorraine.fr> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
fdm2id results |