About: Somoclu is a massively parallel implementation of selforganizing maps. It relies on OpenMP for multicore execution, MPI for distributing the workload, and it can be accelerated by CUDA on a GPU cluster. A sparse kernel is also included, which is useful for training maps on vector spaces generated in text mining processes. Changes:

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks Changes:Fetched by rcranrobot on 20140401 00:00:04.738601

About: A wrapper algorithm for allrelevant feature selection Changes:Fetched by rcranrobot on 20140401 00:00:04.400248

About: The package "fastclime" provides a method of recover the precision matrix efficiently by applying parametric simplex method. The computation is based on a linear optimization solver. It also contains a generic LP solver and a parameterized LP solver using parametric simplex method. Changes:Initial Announcement on mloss.org.

About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The package further provides leveraged affinity propagation, exemplarbased agglomerative clustering, and various tools for visual analysis of clustering results. Changes:

About: Mining Association Rules and Frequent Itemsets Changes:Fetched by rcranrobot on 20140401 00:00:04.046616

About: Classification and Regression Training Changes:Fetched by rcranrobot on 20140401 00:00:04.596559

About: Misc Functions of the Department of Statistics (e1071), TU Wien Changes:Fetched by rcranrobot on 20140401 00:00:04.937452

About: Estimates statistical significance of association between variables and their principal components (PCs). Changes:Initial Announcement on mloss.org.

About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data. It detects 100 times smaller segments than previous methods. Changes:o citation update o plot function improved

About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data. Changes:o citation update o plot function improved

About: Evolutionary Learning of Globally Optimal Trees Changes:Fetched by rcranrobot on 20140401 00:00:04.866198

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: CORElearn  classification, regression, feature evaluation and ordinal evaluation Changes:Fetched by rcranrobot on 20140401 00:00:04.667607

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: Gradient Boosting Changes:Fetched by rcranrobot on 20140401 00:00:04.470817

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: Big Random Forests Changes:Fetched by rcranrobot on 20140401 00:00:04.196492
