mdhglm: Multivariate Double Hierarchical Generalized Linear Models

Allows various models for multivariate response variables where each response is assumed to follow double hierarchical generalized linear models. In double hierarchical generalized linear models, the mean, dispersion parameters for variance of random effects, and residual variance can be further modeled as random-effect models.

Version: 1.6
Depends: R (≥ 3.2.0), methods, Matrix, numDeriv, boot, mvtnorm
Published: 2016-09-19
Author: Youngjo Lee, Marek Molas, Maengseok Noh
Maintainer: Maengseok Noh <msnoh at pknu.ac.kr>
License: Unlimited
NeedsCompilation: no
CRAN checks: mdhglm results

Downloads:

Reference manual: mdhglm.pdf
Package source: mdhglm_1.6.tar.gz
Windows binaries: r-devel: mdhglm_1.6.zip, r-release: mdhglm_1.6.zip, r-oldrel: mdhglm_1.6.zip
OS X El Capitan binaries: r-release: mdhglm_1.6.tgz
OS X Mavericks binaries: r-oldrel: mdhglm_1.6.tgz
Old sources: mdhglm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mdhglm to link to this page.