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IRCcheck  

Irrepresentable Condition Check
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("IRCcheck", "1.0.0")



Attach the package and use:
library("IRCcheck")
Maintained by
Donald Williams
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-09
Latest Update: 2021-04-09
Description:
Check the irrepresentable condition (IRC) in both L1-regularized regression and Gaussian graphical models. The IRC requires that the important and unimportant variables are not correlated, at least not all that much, and it is necessary for consistent model selection. Exploring the IRC as a function of the number of variables, assumed sparsity, and effect size can provide valuable insights into the model selection properties of L1-regularization.
How to cite:
Donald Williams (2021). IRCcheck: Irrepresentable Condition Check. R package version 1.0.0, https://cran.r-project.org/web/packages/IRCcheck. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited IRCcheck R package
View IRCcheck citation profile
Other R packages that IRCcheck depends, imports, suggests or enhances
Complete documentation for IRCcheck
Functions, R codes and Examples using the IRCcheck R package
Some associated functions: IRCcheck-package . constrained . gen_net . irc_ggm . irc_regression . symm_mat . 
Some associated R codes: IRCcheck-package.R . constrained.R . gen_pcors.R . helpers.R . irc_ggm.R . irc_regression.R . symm_mat.R .  Full IRCcheck package functions and examples
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