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rpc  

Ridge Partial Correlation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rpc", "2.0.3")



Attach the package and use:
library("rpc")
Maintained by
Somak Dutta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-22
Latest Update: 2025-03-22
Description:
Computes the ridge partial correlation coefficients in a high or ultra-high dimensional linear regression problem. An extended Bayesian information criterion is also implemented for variable selection. Users provide the matrix of covariates as a usual dense matrix or a sparse matrix stored in a compressed sparse column format. Detail of the method is given in the manual.
How to cite:
Somak Dutta (2025). rpc: Ridge Partial Correlation. R package version 2.0.3, https://cran.r-project.org/web/packages/rpc. Accessed 21 Aug. 2026.
Previous versions and publish date:
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Other packages that cited rpc R package
View rpc citation profile
Other R packages that rpc depends, imports, suggests or enhances
Complete documentation for rpc
Functions, R codes and Examples using the rpc R package
Full rpc package functions and examples
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