Abstract
The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution. The distribution of random effects can be specified as Gaussian, gamma, inverse-gamma or beta. Complex structures as multi-membership design or multilevel designs can be handled. Further, dispersion parameters of random components and the residual dispersion (overdispersion) can be modeled as a function of covariates. Overdispersion parameter can be fixed or estimated. Fixed effects in the mean structure can be estimated using extended likelihood or a first order Laplace approximation to the marginal likelihood. Dispersion parameters are estimated using first order adjusted profile likelihood.
Original language | Undefined/Unknown |
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Pages (from-to) | 1-20 |
Number of pages | 20 |
Journal | Journal of Statistical Software |
Volume | 39 |
Issue number | 13 |
Publication status | Published - 2011 |
Research programs
- EMC NIHES-01-66-01