hglm (2.1-0)

Hierarchical Generalized Linear Models.


Implemented here are 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.

Maintainer: Xia Shen
Author(s): Moudud Alam, Lars Ronnegard, Xia Shen

License: GPL (>= 2)

Uses: hglm.data, MASS, Matrix
Reverse depends: bigRR, RepeatABEL
Reverse suggests: agridat, GenABEL, vqtl

Released over 4 years ago.