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: 2023-04-03
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 22 Dec. 2024.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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