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
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For attribution, please cite this work as
Rönnegård, et al., "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 = {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}
}