HGLMMM swMATH ID: 8092 Software Authors: Molas, M.; Lesaffre, E. Description: Hierarchical generalized linear models: the R package HGLMMM. 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. Homepage: http://crantastic.org/packages/HGLMMM Dependencies: R Related Software: lme4; R; nlme; GenStat; MASS (R); Matrix; glmmBUGS; MCMCglmm; dglm; hglm; SAS; dobson; R-INLA; glmmML; gss; fda (R); R2WinBUGS; GWRM; gamm4; GLMMarp Referenced in: 4 Publications Standard Articles 1 Publication describing the Software Year all top 5 Referenced by 12 Authors 1 Burzykowski, Tomasz 1 Carrasco, Josep Lluís 1 Casals, Martí 1 Galecki, Andrzej T. 1 Gning, Lucien Diégane 1 Langohr, Klaus 1 Lee, Youngjo 1 Lesaffre, Emmanuel M. E. H. 1 Molas, Marek 1 Noh, Maengseok 1 Pierre-Loti-Viaud, Daniel 1 Rönnegård, Lars Referenced in 4 Serials 1 Computational Statistics and Data Analysis 1 SORT. Statistics and Operations Research Transactions 1 Electronic Journal of Statistics 1 Springer Texts in Statistics Referenced in 1 Field 4 Statistics (62-XX) Referencing Publications by Year