About: Bayesian Model Averaging for linear models with a wide choice of (customizable) priors. Builtin priorss include coefficient priors (fixed, flexible and hyperg priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches. Changes:Initial Announcement on mloss.org.

About: FABIA is a biclustering algorithm that clusters rows and columns of a matrix simultaneously. Consequently, members of a row cluster are similar to each other on a subset of columns and, analogously, members of a column cluster are similar to each other on a subset of rows. Biclusters are found by factor analysis where both the factors and the loading matrix are sparse. FABIA is a multiplicative model that extracts linear dependencies between samples and feature patterns. Applications include detection of transcriptional modules in gene expression data and identification of haplotypes/>identity by descent< consisting of rare variants obtained by next generation sequencing. Changes:CHANGES IN VERSION 2.8.0NEW FEATURES
CHANGES IN VERSION 2.4.0
CHANGES IN VERSION 2.3.1NEW FEATURES
2.0.0:
1.4.0:

About: The CAM RJava software provides a noval way to solve blind source separation problem. Changes:In this version, we fix the problem of not working under newest R version R3.0.

About: The Rchemcpp package implements the marginalized graph kernel and extensions, Tanimoto kernels, graph kernels, pharmacophore and 3D kernels suggested for measuring the similarity of molecules. Changes:Moved from CRAN to Bioconductor. Improved handling of molecules, visualization and examples.

About: TBEEF, a doubly ensemble framework for recommendation and prediction problems. Changes:Updated the included documentation.

About: Regularization for semiparametric additive hazards regression Changes:Fetched by rcranrobot on 20150501 00:00:03.737856

About: R genetic programming framework Changes:Fetched by rcranrobot on 20130401 00:00:08.163887

About: Pam Changes:Fetched by rcranrobot on 20130401 00:00:06.709586

About: Generalized linear and additive models by likelihood based boosting Changes:Fetched by rcranrobot on 20130401 00:00:04.893311

About: Classification and visualization Changes:Fetched by rcranrobot on 20130401 00:00:05.722314

About: This toolbox implements models for Bayesian mixedeffects inference on classification performance in hierarchical classification analyses. Changes:In addition to the existing MATLAB implementation, the toolbox now also contains an R package of the variational Bayesian algorithm for mixedeffects inference.

About: A Toolkit for Recursive Partytioning Changes:Fetched by rcranrobot on 20130401 00:00:06.838561

About: Feedforward Neural Networks and Multinomial LogLinear Models Changes:Fetched by rcranrobot on 20130401 00:00:06.544403

About: Graphical user interface for data mining in R Changes:Fetched by rcranrobot on 20130401 00:00:07.700426

About: Regularization paths for SCAD and MCPpenalized regression models Changes:Fetched by rcranrobot on 20130401 00:00:06.449164

About: Lasso and elasticnet regularized generalized linear models Changes:Fetched by rcranrobot on 20130401 00:00:05.081872

About: Heteroscedastic Discriminant Analysis Changes:Fetched by rcranrobot on 20130401 00:00:05.551691

About: Regularization paths for regression models with grouped covariates Changes:Fetched by rcranrobot on 20130401 00:00:05.489694

About: ModelBased Boosting Changes:Fetched by rcranrobot on 20130401 00:00:06.324985

About: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model Changes:Fetched by rcranrobot on 20130401 00:00:05.305206
