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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 29 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
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