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clere (version 1.1.2)

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 DB et al. - 2013).

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Version

Install

install.packages('clere')

Monthly Downloads

16

Version

1.1.2

License

GPL (>= 3)

Maintainer

Loic Yengo

Last Published

October 8th, 2015

Functions in clere (1.1.2)

numExpRealData-dataset

Performances of 9 methods for dimension reduction applied to 2 published real dataset
Clere-class

Clere class
predict

predict method
clere-package

CLERE methodology for simultaneous variables clustering and regression
is.clere

Is an Clere object
fitClere

fitClere function
plot-methods

plot method
numExpSimData-dataset

Performances of 9 methods for dimension reduction on data simulated under the CLERE model
Pacs-class

Pacs class
fitPacs

fitPacs function
clusters

clusters method
algoComp-dataset

Performances SEM algorithm versus MCEM
summary

summary method