e1071, ipred, caTools, maxent, glmnet, Rstem

Author: Timothy P. Jurka,  Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt
e1071, ipred, caTools, maxent, glmnet, Rstem, tau
Description: RTextTools is a machine learning package for automatic text classification that makes it simple for novice users to get started with machine learning, while allowing experienced users to easily experiment with different settings and algorithm combinations. The package includes nine algorithms for ensemble classification (svm, slda, boosting, bagging, random forests, glmnet, decision trees, neural networks, maximum entropy), comprehensive analytics, and thorough documentation.

Depends: R (>= 2.14.0), methods, SparseM, randomForest, tree, nnet, tm,

Package: RTextTools
Type: Package
Title: Automatic Text Classification via Supervised Learning
Version: 1.3.4
Date: 2012-1-10
Author: Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun,
Emiliano Grossman, Wouter van Atteveldt
Maintainer: Timothy P. Jurka <tpjurka@ucdavis.edu>
Depends: R (>= 2.14.0), methods, SparseM, randomForest, tree, nnet, tm,
e1071, ipred, caTools, maxent, glmnet, Rstem, tau
Suggests: RODBC
Description: RTextTools is a machine learning package for automatic
text classification that makes it simple for novice users to
get started with machine learning, while allowing experienced
users to easily experiment with different settings and
algorithm combinations. The package includes nine algorithms
for ensemble classification (svm, slda, boosting, bagging,
random forests, glmnet, decision trees, neural networks,
maximum entropy), comprehensive analytics, and thorough
documentation.
License: GPL-3
URL: http://www.rtexttools.com/
LazyLoad: yes
Packaged: 2012-01-11 06:22:45 UTC; timjurka
Repository: CRAN
Date/Publication: 2012-01-11 08:35:52

Package: RTextTools
Type: Package
Title: Automatic Text Classification via Supervised Learning
Version: 1.3.5
Date: 2012-1-15
Author: Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun,
Emiliano Grossman, Wouter van Atteveldt
Maintainer: Timothy P. Jurka <tpjurka@ucdavis.edu>
Depends: R (>= 2.14.0), methods, SparseM, randomForest, tree, nnet, tm,
e1071, ipred, caTools, maxent, glmnet, Rstem, tau
Suggests: RODBC
Description: RTextTools is a machine learning package for automatic
text classification that makes it simple for novice users to
get started with machine learning, while allowing experienced
users to easily experiment with different settings and
algorithm combinations. The package includes nine algorithms
for ensemble classification (svm, slda, boosting, bagging,
random forests, glmnet, decision trees, neural networks,
maximum entropy), comprehensive analytics, and thorough
documentation.
License: GPL-3
URL: http://www.rtexttools.com/
LazyLoad: yes
Packaged: 2012-01-15 23:11:46 UTC; timjurka
Repository: CRAN
Date/Publication: 2012-01-16 07:32:43