Other packages > Find by keyword >

glmmPen  

High Dimensional Penalized Generalized Linear Mixed Models (pGLMM)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("glmmPen", "1.5.4.8")



Attach the package and use:
library("glmmPen")
Maintained by
Hillary Heiling
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-21
Latest Update: 2024-08-29
Description:
Fits high dimensional penalized generalized linear mixed models using the Monte Carlo Expectation Conditional Minimization (MCECM) algorithm. The purpose of the package is to perform variable selection on both the fixed and random effects simultaneously for generalized linear mixed models. The package supports fitting of Binomial, Gaussian, and Poisson data with canonical links, and supports penalization using the MCP, SCAD, or LASSO penalties. The MCECM algorithm is described in Rashid et al. (2020) . The techniques used in the minimization portion of the procedure (the M-step) are derived from the procedures of the 'ncvreg' package (Breheny and Huang (2011) ) and 'grpreg' package (Breheny and Huang (2015) ), with appropriate modifications to account for the estimation and penalization of the random effects. The 'ncvreg' and 'grpreg' packages also describe the MCP, SCAD, and LASSO penalties.
How to cite:
Hillary Heiling (2022). glmmPen: High Dimensional Penalized Generalized Linear Mixed Models (pGLMM). R package version 1.5.4.8, https://cran.r-project.org/web/packages/glmmPen. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.5.1.8 (2022-01-21 10:12), 1.5.1.10 (2022-04-29 14:30), 1.5.2.11 (2022-12-13 21:10), 1.5.3.0 (2023-03-15 15:50), 1.5.3.4 (2023-04-03 17:30), 1.5.4.4 (2024-01-18 18:40)
Other packages that cited glmmPen R package
View glmmPen citation profile
Other R packages that glmmPen depends, imports, suggests or enhances
Complete documentation for glmmPen
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA