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gofar  

Generalized Co-Sparse Factor Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gofar", "0.1")



Attach the package and use:
library("gofar")
Maintained by
Aditya Mishra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-02
Latest Update: 2022-03-02
Description:
Divide and conquer approach for estimating low-rank and sparse coefficient matrix in the generalized co-sparse factor regression. Please refer the manuscript 'Mishra, Aditya, Dipak K. Dey, Yong Chen, and Kun Chen. Generalized co-sparse factor regression. Computational Statistics & Data Analysis 157 (2021): 107127' for more details.
How to cite:
Aditya Mishra (2022). gofar: Generalized Co-Sparse Factor Regression. R package version 0.1, https://cran.r-project.org/web/packages/gofar. Accessed 27 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited gofar R package
View gofar citation profile
Other R packages that gofar depends, imports, suggests or enhances
Complete documentation for gofar
Functions, R codes and Examples using the gofar R package
Some associated functions: gofar_control . gofar_p . gofar_s . gofar_sim . simulate_gofar . 
Some associated R codes: RcppExports.R . data.R . gofar.R . miscfun.R .  Full gofar package functions and examples
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