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mplot  

Graphical Model Stability and Variable Selection Procedures
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mplot", "1.0.6")



Attach the package and use:
library("mplot")
Maintained by
Garth Tarr
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-11
Latest Update: 2021-07-10
Description:
Model stability and variable inclusion plots [Mueller and Welsh (2010, ); Murray, Heritier and Mueller (2013, )] as well as the adaptive fence [Jiang et al. (2008, ); Jiang et al. (2009, )] for linear and generalised linear models.
How to cite:
Garth Tarr (2015). mplot: Graphical Model Stability and Variable Selection Procedures. R package version 1.0.6, https://cran.r-project.org/web/packages/mplot. Accessed 20 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:32), 0.6.2 (2015-06-11 01:33), 0.7.1 (2015-09-09 09:17), 0.7.5 (2015-11-16 08:20), 0.7.7 (2015-11-18 09:31), 0.7.8 (2016-08-16 12:08), 0.7.9 (2016-08-18 10:02), 0.8.0 (2017-11-06 10:40), 0.8.1 (2017-11-18 10:16), 0.8.2 (2018-01-05 10:29), 1.0.1 (2018-02-14 17:29), 1.0.2 (2019-01-22 07:10), 1.0.3 (2019-05-14 06:30), 1.0.4 (2020-02-15 21:40)
Other packages that cited mplot R package
View mplot citation profile
Other R packages that mplot depends, imports, suggests or enhances
Complete documentation for mplot
Functions, R codes and Examples using the mplot R package
Some associated functions: af . artificialeg . bglmnet . bodyfat . diabetes . fev . glmfence . lmfence . mplot-package . mplot . pipe . plot.af . plot.bglmnet . plot.vis . print.af . print.vis . process.fn . summary.af . txt.fn . vis . wallabies . 
Some associated R codes: Qm.R . af.R . bglmnet.R . glmfence.R . lmfence.R . mplot-package.R . mplot.R . qrange.R . sigMM.R . sstab.R . utils-pipe.R . vis.R .  Full mplot package functions and examples
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