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Last data update: 2014.03.03

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msos : Datasets and Functions used in Multivariate Statistics: Old School by John Marden

Package: msos
Type: Package
Title: Datasets and Functions used in Multivariate Statistics: Old
School by John Marden
Version: 1.0.1
Date: 2014-01-22
Depends: R (>= 3.0.0), mclust, tree
Authors@R: c(person("John", "Marden", role = c("aut", "cph"),
email = "jimarden@illinois.edu"),
person("James", "Balamuta", role = c("cre", "ctb",
"com"),email = "james.balamuta@gmail.com"))
Author: John Marden [aut, cph] and James Balamuta [cre, ctb, com]
Maintainer: James Balamuta <james.balamuta@gmail.com>
Description: Contains necessary Multivariate Analysis methods and Datasets used in STAT 571 at the University of Illinois at Urbana-Champaign
License: MIT + file LICENSE
Packaged: 2014-01-23 14:10:10 UTC; James
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-23 15:12:57

● Data Source: CranContrib
● 0 images, 26 functions, 22 datasets
● Reverse Depends: 0

SPODT : Spatial Oblique Decision Tree

Package: SPODT
Type: Package
Title: Spatial Oblique Decision Tree
Version: 0.9-1
Date: 2014-04-23
Author: Jean Gaudart, Nathalie Graffeo, Guillaume Barbet, Bernard Fichet, Roch Giorgi (Aix-Marseille University)
Maintainer: Jean Gaudart <jean.gaudart@univ-amu.fr>
Description: SPODT is a spatial partitioning method based on oblique decision trees, in order to classify study area into zones of different risks, determining their boundaries
License: GPL (>= 2)
Depends: methods, graphics, rgdal, sp, tree
NeedsCompilation: yes
Packaged: 2015-01-14 14:59:26 UTC; utilisateur
Repository: CRAN
Date/Publication: 2015-01-14 19:26:55

● Data Source: CranContrib
● 18 images, 6 functions, 14 datasets
● Reverse Depends: 0

BigTSP : Top Scoring Pair based methods for classification

Package: BigTSP
Type: Package
Title: Top Scoring Pair based methods for classification
Version: 1.0
Date: 2012-08-20
Author: Xiaolin Yang,Han Liu
Maintainer: Xiaolin Yang <xyang@stat.cmu.edu>
Description: This package is trying to implement Top Scoring Pair based
methods for classification including LDCA, TSP-tree, TSP-random
forest and TSP gradient boosting algorithm.
Depends: glmnet, tree, randomForest, gbm
License: GPL (>= 2)
Packaged: 2012-08-21 03:17:15 UTC; xiaolinyang
Repository: CRAN
Date/Publication: 2012-08-21 06:34:06

● Data Source: CranContrib
● 2 images, 13 functions, 0 datasets
● Reverse Depends: 0

oblique.tree : Oblique Trees for Classification Data

Package: oblique.tree
Type: Package
Title: Oblique Trees for Classification Data
Version: 1.1.1
Date: 2012-04-14
Author: Alfred Truong
Maintainer: Alfred Truong <alfred.truong@gmail.com>
Description: Grows Oblique Trees to Classification Data.
License: GPL-3
Depends: tree, glmnet
Imports: nnet
Suggests: MASS
Packaged: 2013-07-14 09:05:56 UTC; ripley
Repository: CRAN
Date/Publication: 2013-07-14 11:08:32
NeedsCompilation: yes

● Data Source: CranContrib
● Cran Task View: MachineLearning
● 0 images, 15 functions, 1 datasets
● Reverse Depends: 0