R package hglm: Hierarchical Generalized Linear Models. 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.
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Lee, Youngjo; Ronnegård, Lars; Noh, Maengseok: Data analysis using hierarchical generalized linear models with R (2017)
- Hyungsuk Tak, Joseph Kelly, Carl N. Morris: Rgbp: An R Package for Gaussian, Poisson, and Binomial Random Effects Models with Frequency Coverage Evaluations (2016) arXiv
- Rieck, Konrad; Wressnegger, Christian: Harry: a tool for measuring string similarity (2016)