armada 0.1.0

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

Released Apr 4, 2019 by Aurelie Gueudin

This package cannot yet be used with Renjin it depends on other packages which are not available: qvalue, ComplexHeatmap, and impute


glmnet 2.0-16 VSURF 1.0.4 mvtnorm 1.0-10 ClustOfVar 1.1 anapuce 2.3 circlize 0.4.6 FAMT 2.5 doParallel 1.0.14

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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