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.
|Author||Moudud Alam, Lars Ronnegard, Xia Shen|
|Date of publication||2015-09-03 12:02:21|
|Maintainer||Xia Shen <firstname.lastname@example.org>|
|License||GPL (>= 2)|
Beta: Extended Beta Family
CAR: Conditional Autoregressive Family
hglm: Fitting Hierarchical Generalized Linear Models
hglm2: Fitting Hierarchical Generalized Linear Models
hglm-package: Hierarchical Generalized Linear Models
inverse.gamma: Inverse Gamma Family
inverse.sqrt: Inverse Square-root Family
logLik.hglm: Extracts log-likelihood values
lrt: Likelihood-ratio test for variance components in 'hglm'
plot.hglm: Plot Hierarchical Generalized Linear Model Objects
SAR: Simultaneous Autoregressive Family
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