The R portion needs some serious filling - for starters: you include the Julia wrapper to glmnet, which was originally implemented in R.
glmnet - lasso/ridge/elastic net glm models.
e1071 - SVM classifiers.
randomForest - random forest classifiers.
mixOmics - a good collection of component-based approaches (PCA, ICA, PLS, etc. includes sparse variants of all of the above is feature selection is required).
glmnet - lasso/ridge/elastic net glm models.
e1071 - SVM classifiers.
randomForest - random forest classifiers.
mixOmics - a good collection of component-based approaches (PCA, ICA, PLS, etc. includes sparse variants of all of the above is feature selection is required).
caret - similar to Java's Weka.