About: Oblique Random Forests from Recursive Linear Model Splits Changes:Fetched by rcranrobot on 20120801 00:00:07.607823

About: Classification and regression trees Changes:Fetched by rcranrobot on 20120201 00:00:11.999664

About: Regression Trees with Random Effects for Longitudinal (Panel) Data Changes:Fetched by rcranrobot on 20130401 00:00:08.040424

About: Rule and InstanceBased Regression Modeling Changes:Fetched by rcranrobot on 20110828 08:16:03.375532

About: Tools for functional network analysis. Changes:Initial Announcement on mloss.org.

About: Variable selection using random forests Changes:Fetched by rcranrobot on 20120201 00:00:12.245883

About: Ordinal classification tree functions Changes:Initial Announcement on mloss.org by rcranrobot

About: Feature Selection SVM using penalty functions Changes:Fetched by rcranrobot on 20130401 00:00:07.509844

About: Random Survival Forests Changes:Fetched by rcranrobot on 20130301 00:00:08.083405

About: Investigation of dependencies between multiple data sources allows the discovery of regularities and interactions that are not seen in individual data sets. The demand for such methods is increasing with the availability and size of cooccurring observations in computational biology, open data initiatives, and in other domains. We provide practical, open access implementations of generalpurpose algorithms that help to realize the full potential of these information sources. Changes:Three independent modules (drCCA, pint, MultiWayCCA) have been added.

About: LIBSVM is an integrated software for support vector classification, (CSVC, nuSVC ), regression (epsilonSVR, nuSVR) and distribution estimation (oneclass SVM). It supports multiclass [...] Changes:Initial Announcement on mloss.org.

About: Stepwise Diagonal Discriminant Analysis Changes:Fetched by rcranrobot on 20120201 00:00:11.677447

About: Visualizing the performance of scoring classifiers. Changes:Fetched by rcranrobot on 20130401 00:00:08.344833

About: Recursively Partitioned Mixture Model Changes:Initial Announcement on mloss.org by rcranrobot

About: kernlab provides kernelbased Machine Learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods kernlab [...] Changes:minor fixes in kcca and ksvm functions

About: VR Changes:Fetched by rcranrobot on 20091003 07:16:05.643423

About: This package contains functions to estimate linear and nonlinear regression methods with Penalized Partial Least Squares. Changes:

About: The package estimates the matrix of partial correlations based on different regularized regression methods: lasso, adaptive lasso, PLS, and Ridge Regression. Changes:Initial Announcement on mloss.org.

About: Fitting user specified models with Group Lasso penalty Changes:Fetched by rcranrobot on 20130401 00:00:05.428021

About: Gradient Boosted Regression Trees with ErrorsinVariables Changes:Fetched by rcranrobot on 20120601 00:00:05.010630
