armada: 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. <>.

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AuthorAurelie Gueudin [aut, cre], Anne Gegout-Petit [aut]
MaintainerAurelie Gueudin <[email protected]>
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armada documentation built on May 2, 2019, 6:37 a.m.