Package: armada
Type: Package
Title: A Statistical Methodology to Select Covariates in
        High-Dimensional Data under Dependence
Version: 0.1.0
Authors@R: c(person("Aurelie", "Gueudin", email = "aurelie.gueudin@univ-lorraine.fr", role = c("aut", "cre")),
  person("Anne", "Gegout-Petit", email = "anne.gegout-petit@univ-lorraine.fr", role = c("aut")))
Description: 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. <https://hal.archives-ouvertes.fr/hal-01939694>.
License: GPL-3
LazyData: true
RoxygenNote: 6.1.1
Imports: stats, mvtnorm, ClustOfVar, FAMT, graphics, VSURF, glmnet,
        anapuce, qvalue, parallel, doParallel, impute, ComplexHeatmap,
        circlize
NeedsCompilation: no
Packaged: 2019-04-04 13:14:39 UTC; muller16
Author: Aurelie Gueudin [aut, cre],
  Anne Gegout-Petit [aut]
Maintainer: Aurelie Gueudin <aurelie.gueudin@univ-lorraine.fr>
Repository: CRAN
Date/Publication: 2019-04-04 16:00:06 UTC
Built: R 4.1.3; ; 2023-04-17 16:23:25 UTC; windows
