Learn R Programming
⚠️There's a newer version (1.2.0) of this package.Take me there.

clere (version 1.1.1)

Simultaneous Variables Clustering and Regression

Description

The R package clere 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).

Copy Link

Version

Install

install.packages('clere')

Monthly Downloads

16

Version

1.1.1

License

GPL (>= 3)

Maintainer

Loic Yengo

Last Published

October 1st, 2015

Functions in clere (1.1.1)

Pacs-class

Pacs class
clere-package

CLERE methodology for simultaneous variables clustering and regression
clusters

clusters method
plot-methods

plot method
algoComp-dataset

Performances SEM algorithm versus MCEM
fitPacs

fitPacs function
fitClere

fitClere function
summary

summary method
Clere-class

Clere class
predict

predict method
is.clere

Is an Clere object
numExpSimData-dataset

Performances of 9 methods for dimension reduction on data simulated under the CLERE model
numExpRealData-dataset

Performances of 9 methods for dimension reduction applied to 2 published real dataset
fit.clere

fit.clere function
ggPlot

ggPlot method