Other packages > Find by keyword >

hglm  

Hierarchical Generalized Linear Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hglm", "2.2-1")



Attach the package and use:
library("hglm")
Maintained by
Xia Shen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-03-08
Latest Update: 2019-04-04
Description:
Implemented here are procedures for fitting hierarchical generalized linear models (HGLM). It can be used for linear mixed models and generalized linear mixed models with random effects for a variety of links and a variety of distributions for both the outcomes and the random effects. Fixed effects can also be fitted in the dispersion part of the mean model. As statistical models, HGLMs were initially developed by Lee and Nelder (1996) . We provide an implementation (Ronnegard, Alam and Shen 2010) following Lee, Nelder and Pawitan (2006) with algorithms extended for spatial modeling (Alam, Ronnegard and Shen 2015) .
How to cite:
Xia Shen (2010). hglm: Hierarchical Generalized Linear Models. R package version 2.2-1, https://cran.r-project.org/web/packages/hglm. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 1.0 (2010-03-08 20:01), 1.1.1 (2010-06-08 17:45), 1.1 (2010-05-25 21:34), 1.2-1 (2011-06-24 18:58), 1.2-2 (2011-07-04 07:40), 1.2-5 (2013-03-04 15:14), 1.2-6 (2013-03-11 16:56), 1.2-8 (2013-05-10 10:28), 2.0-2 (2014-01-13 10:14), 2.0-3 (2014-01-13 14:03), 2.0-4 (2014-01-21 12:54), 2.0-8 (2014-07-23 15:24), 2.0-9 (2014-09-27 12:26), 2.0-11 (2014-10-30 17:07), 2.1-0 (2015-05-19 13:03), 2.1-1 (2015-08-31 15:17), 2.2-0 (2018-08-31 10:09)
Other packages that cited hglm R package
View hglm citation profile
Other R packages that hglm depends, imports, suggests or enhances
Complete documentation for hglm
Functions, R codes and Examples using the hglm R package
Some associated functions: Beta . CAR . SAR . hglm-package . hglm . hglm2 . inverse.gamma . inverse.sqrt . logLik.hglm . lrt . plot.hglm . 
Some associated R codes: Beta.R . CAR.R . GAMMA.R . GLM.MME.R . HL11.R . SAR.R . bigRR-internal.R . bigRR.R . hat.transf.R . hglm.R . hglm.default.R . hglm.formula.R . hglm2.R . hglm2.formula.R . inverse.gamma.R . inverse.sqrt.R . likelihood.R . logLik.hglm.R . lrt.R . plot.hglm.R . print.hglm.R . print.summary.hglm.R . summary.hglm.R .  Full hglm package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

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  
githubinstall  
A Helpful Way to Install R Packages Hosted on GitHub
Provides an helpful way to install packages hosted on GitHub. ...
Download / Learn more Package Citations See dependency  
baffle  
Make Waffle Plots with Base Graphics
Waffle plots are rectangular pie charts that represent a quantity or abundances using colored squar ...
Download / Learn more Package Citations See dependency  
TRMF  
Temporally Regularized Matrix Factorization
Functions to estimate temporally regularized matrix factorizations (TRMF) for forecasting and imputi ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
separationplot  
Separation Plots
Visual representations of model fit or predictive success in the form of "separation plots." See Gr ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,495

Author Associations

28,990

Publication Badges

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