[R-pkgs] New caret packages

From: Max <max.kuhn_at_pfizer.com>
Date: Fri, 05 Sep 2008 21:10:39 -0400


New major versions of the caret packages (caret 3.37, caretLSF 1.23 and caretNWS 0.23) have been uploaded to CRAN.

caret is a package for building and evaluating a wide variety of predictive models. There are functions for pre-processing, tuning models using resampling, visualizing the results, calculating performance and estimating variable importance. caretNWS and caretLSF are two parallel processing versions that can reduce the training time when multiple compute nodes are available.

The project is now hosted on R-Forge. The homepage is

   http://caret.r-forge.r-project.org/

The package currently includes model tuning/resampling for the following models: lm, single trees (C4.5, rpart, ctree, logistic model trees), mars (via earth), boosted models (ada, gbm, blackboost, glmboost, gamboost, logitboost), bagged models (trees, earth, fda), randomforests (randomforest and cforest), rule-based models (Ripper and M5 prime), discriminant models (lda, fda, rda, ssda, slda), kernel methods (lssvm, ksvm, rvm, gausspr), nnet, nnet with initial pca step, multinom, pls, plsda, gpls, nearest shrunken centroids, the lasso, the elastic net, supervised pca, knn, lvq and NaiveBayes.

Recent changes include:

Max



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