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rospca  

Robust Sparse PCA using the ROSPCA Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rospca", "1.1.0")



Attach the package and use:
library("rospca")
Maintained by
Tom Reynkens
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-16
Latest Update: 2018-02-26
Description:
Implementation of robust sparse PCA using the ROSPCA algorithm of Hubert et al. (2016) .
How to cite:
Tom Reynkens (2017). rospca: Robust Sparse PCA using the ROSPCA Algorithm. R package version 1.1.0, https://cran.r-project.org/web/packages/rospca. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2017-01-16 08:13), 1.0.1 (2017-02-28 11:08), 1.0.2 (2017-04-03 10:12), 1.0.3 (2017-10-20 08:49), 1.0.4 (2018-02-26 09:21)
Other packages that cited rospca R package
View rospca citation profile
Other R packages that rospca depends, imports, suggests or enhances
Complete documentation for rospca
Functions, R codes and Examples using the rospca R package
Some associated functions: Glass . angle . datagen . diagPlot . robpca . rospca . selectLambda . selectPlot . zeroMeasure . 
Some associated R codes: Aux_sparse_robust.R . Robpca.R . Rospca.R . SelectLambda.R . Sim_aux.R .  Full rospca package functions and examples
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