armada (0.1.0)

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

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. .

Maintainer: Aurelie Gueudin
Author(s): Aurelie Gueudin [aut, cre], Anne Gegout-Petit [aut]

License: GPL-3

Uses: anapuce, circlize, ClustOfVar, doParallel, FAMT, glmnet, impute, mvtnorm, qvalue, VSURF

Released 8 months ago.



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