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glmvsd  

Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("glmvsd", "1.5")



Attach the package and use:
library("glmvsd")
Maintained by
Yi Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-22
Latest Update: 2022-08-14
Description:
Variable selection deviation (VSD) measures and instability tests for high-dimensional model selection methods such as LASSO, SCAD and MCP, etc., to decide whether the sparse patterns identified by those methods are reliable.
How to cite:
Yi Yang (2014). glmvsd: Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models. R package version 1.5, https://cran.r-project.org/web/packages/glmvsd. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2014-10-22 20:49), 1.1 (2014-11-21 11:53), 1.2 (2015-02-14 00:50), 1.3 (2015-07-25 22:51), 1.4 (2016-01-07 13:55)
Other packages that cited glmvsd R package
View glmvsd citation profile
Other R packages that glmvsd depends, imports, suggests or enhances
Complete documentation for glmvsd
Functions, R codes and Examples using the glmvsd R package
Some associated functions: glmvsd . stability.test . 
Some associated R codes: binomialfit.R . gaussianfit.R . glmvsd.R . logitARM.R . logitIC.R . lsARM.R . lsIC.R . modelfit.R . stability.test.R . tools.R .  Full glmvsd package functions and examples
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