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: 1.8
Depends: R (≥ 3.4.0), methods, Matrix, boot, mvtnorm
Published: 2018-10-25
DOI: 10.32614/CRAN.package.mdhglm
Author: Youngjo Lee, Marek Molas, Maengseok Noh
Maintainer: Maengseok Noh <msnoh at pknu.ac.kr>
License: Unlimited
NeedsCompilation: no
In views: MixedModels
CRAN checks: mdhglm results

Documentation:

Reference manual: mdhglm.pdf

Downloads:

Package source: mdhglm_1.8.tar.gz
Windows binaries: r-devel: mdhglm_1.8.zip, r-release: mdhglm_1.8.zip, r-oldrel: mdhglm_1.8.zip
macOS binaries: r-release (arm64): mdhglm_1.8.tgz, r-oldrel (arm64): mdhglm_1.8.tgz, r-release (x86_64): mdhglm_1.8.tgz, r-oldrel (x86_64): mdhglm_1.8.tgz
Old sources: mdhglm archive

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