We present the hglm package for fitting hierarchical generalized linear models. 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 model.
hglm, lme4, MASS, dglm, HGLMMM, nlme
Econometrics, Environmetrics, Psychometrics, SocialSciences, OfficialStatistics, Pharmacokinetics, SpatioTemporal, Bayesian, ChemPhys, Distributions, Finance, Multivariate, NumericalMathematics, Robust, Spatial
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Rönnegård, et al., "The R Journal: hglm: A Package for Fitting Hierarchical Generalized Linear Models", The R Journal, 2010
BibTeX citation
@article{RJ-2010-009,
author = {Rönnegård, Lars and Shen, Xia and Alam, Moudud},
title = {The R Journal: hglm: A Package for Fitting Hierarchical Generalized Linear Models},
journal = {The R Journal},
year = {2010},
note = {https://doi.org/10.32614/RJ-2010-009},
doi = {10.32614/RJ-2010-009},
volume = {2},
issue = {2},
issn = {2073-4859},
pages = {20-28}
}