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

• plotting of clustering results extended to data sets with more than two dimensions (resulting in the clustering result being superimposed in a scatterplot matrix); the variant that plot() can be used to draw a heatmap has been removed. From now on, heatmap() must always be used.
• improved NA handling
• correction of input check in apcluster() and apclusterL() (previously, both functions issued a warning whenever argument p had length > 1)
• corresponding updates and further improvements of help pages and vignette

About: Mining Association Rules and Frequent Itemsets

Fetched by r-cran-robot on 2013-06-01 00:00:04.536952

About: Classification and Regression Training

Fetched by r-cran-robot on 2013-06-01 00:00:05.499923

About: Regularization for semiparametric additive hazards regression

Fetched by r-cran-robot on 2013-06-01 00:00:04.428588

About: R genetic programming framework

Fetched by r-cran-robot on 2013-04-01 00:00:08.163887

About: Pam

Fetched by r-cran-robot on 2013-04-01 00:00:06.709586

About: Classification and visualization

Fetched by r-cran-robot on 2013-04-01 00:00:05.722314

About: A Toolkit for Recursive Partytioning

Fetched by r-cran-robot on 2013-04-01 00:00:06.838561

About: Regularization paths for SCAD- and MCP-penalized regression models

Fetched by r-cran-robot on 2013-04-01 00:00:06.449164

About: Lasso and elastic-net regularized generalized linear models

Fetched by r-cran-robot on 2013-04-01 00:00:05.081872

About: Regularization paths for regression models with grouped covariates

Fetched by r-cran-robot on 2013-04-01 00:00:05.489694

About: Model-Based Boosting

Fetched by r-cran-robot on 2013-04-01 00:00:06.324985

About: A Laboratory for Recursive Partytioning

Fetched by r-cran-robot on 2013-04-01 00:00:06.775432

About: Likelihood-based Boosting for Generalized mixed models

Fetched by r-cran-robot on 2013-04-01 00:00:05.366545

About: Misc Functions of the Department of Statistics (e1071), TU Wien

Fetched by r-cran-robot on 2013-06-01 00:00:06.535266

About: The package provides a Lagrangian approach to the posterior regularization of given linear mappings. This is important in two cases, (a) when systems are under-determined and (b) when the external model for calculating the mapping is invariant to properties such as scaling. The software may be applied in cases when the external model does not provide its own regularization strategy. In addition, the package allows to rank attributes according to their distortion potential to a given linear mapping.

Version 1.1 (May 23, 2012) memory and time optimizations distderivrel.m now supports assessing the relevance of attribute pairs

Version 1.0 (Nov 9, 2011) * Initial Announcement on mloss.org.

About: Evolutionary Learning of Globally Optimal Trees

Fetched by r-cran-robot on 2013-06-01 00:00:06.431029

About: Least Angle Regression, Lasso and Forward Stagewise

Fetched by r-cran-robot on 2013-04-01 00:00:05.906244

About: Trees WIth eXtra splits

Fetched by r-cran-robot on 2012-02-01 00:00:12.077735

About: svmpath

Fetched by r-cran-robot on 2012-02-01 00:00:11.755984