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coroICA  

Confounding Robust Independent Component Analysis for Noisy and Grouped Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("coroICA", "1.0.2")



Attach the package and use:
library("coroICA")
Maintained by
Niklas Pfister
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-30
Latest Update: 2020-05-15
Description:
Contains an implementation of a confounding robust independent component analysis (ICA) for noisy and grouped data. The main function coroICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding based on user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website .
How to cite:
Niklas Pfister (2018). coroICA: Confounding Robust Independent Component Analysis for Noisy and Grouped Data. R package version 1.0.2, https://cran.r-project.org/web/packages/coroICA. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2018-12-30 18:10)
Other packages that cited coroICA R package
View coroICA citation profile
Other R packages that coroICA depends, imports, suggests or enhances
Complete documentation for coroICA
Functions, R codes and Examples using the coroICA R package
Some associated functions: coroICA . uwedge . 
Some associated R codes: coroICA.R . uwedge.R .  Full coroICA package functions and examples
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