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armada

A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence

Installation

About

Two steps variable selection procedure in a context of high-dimensional dependent data but few observations. First step is dedicated to eliminate dependence between variables (clustering of variables, followed by factor analysis inside each cluster). Second step is a variable selection using by aggregation of adapted methods. Bastien B., Chakir H., Gegout-Petit A., Muller-Gueudin A., Shi Y. A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles associated with outcome of a non-small-cell lung cancer treatment. 2018. .

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Version 0.1.0
Published 2019-04-04 1842 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Aurelie Gueudin

aurelie.gueudin@univ-lorraine.fr

Authors

Aurelie Gueudin

aut / cre

Anne Gegout-Petit

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

stats
mvtnorm
ClustOfVar
FAMT
graphics
VSURF
glmnet
anapuce
qvalue
parallel
doParallel
impute
ComplexHeatmap
circlize