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clere (version 1.1.4)

Simultaneous Variables Clustering and Regression

Description

Implements an empirical Bayes approach for simultaneous variable clustering and regression. This version also (re)implements in C++ an R script proposed by Howard Bondell that fits the Pairwise Absolute Clustering and Sparsity (PACS) methodology (see Sharma et al (2013) ).

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Version

Install

install.packages('clere')

Monthly Downloads

16

Version

1.1.4

License

GPL (>= 3)

Maintainer

Loic Yengo

Last Published

March 22nd, 2016

Functions in clere (1.1.4)

algoComp-dataset

Performances SEM algorithm versus MCEM
predict

predict method
numExpSimData-dataset

Performances of 9 methods for dimension reduction on data simulated under the CLERE model
clusters

clusters method
summary

summary method
fitPacs

fitPacs function
clere-package

CLERE methodology for simultaneous variables clustering and regression
Clere-class

'>Clere class
numExpRealData-dataset

Performances of 9 methods for dimension reduction applied to 2 published real dataset
fitClere

fitClere function
plot-methods

plot method
Pacs-class

'>Pacs class