-
Notifications
You must be signed in to change notification settings - Fork 0
/
DESCRIPTION
23 lines (23 loc) · 1.35 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
Package: fdm2id
Title: Data Mining and R Programming for Beginners
Version: 0.9.9
Authors@R: person("Alexandre", "Blansché", email = "alexandre.blansche@univ-lorraine.fr", role = c("aut", "cre"))
Description: 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".
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
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-06-12 12:33:26 UTC; blansche
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>
Repository: CRAN
Date/Publication: 2023-06-12 13:10:02 UTC