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armada  

A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence
View on CRAN: Click here


Download and install armada package within the R console
Install from CRAN:
install.packages("armada")

Install from Github:
library("remotes")
install_github("cran/armada")

Install by package version:
library("remotes")
install_version("armada", "0.1.0")



Attach the package and use:
library("armada")
Maintained by
Aurelie Gueudin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-04
Latest Update:
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. .
How to cite:
Aurelie Gueudin (2019). armada: A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence. R package version 0.1.0, https://cran.r-project.org/web/packages/armada. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-04-04 18:00)
Other packages that cited armada R package
View armada citation profile
Other R packages that armada depends, imports, suggests or enhances
Functions, R codes and Examples using the armada R package
Some associated functions: ARMADA.heatmap . ARMADA . ARMADA.select . ARMADA.summary . X_decor . clustering . covariables . toys.data.multi . toys.data . toys.data.reg . 
Some associated R codes: ARMADA.R . ARMADA.heatmap.R . ARMADA.select.R . ARMADA.summary.R . X_decor.R . clustering.R . covariables.R . toys.data.R . toys.data.multi.R . toys.data.reg.R .  Full armada package functions and examples
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