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mdhglm (version 1.2)

Multivariate Double Hierarchical Generalized Linear Models

Description

Allows different 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 (overdispersion) can be further modeled as random-effect models.

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Version

Install

install.packages('mdhglm')

Monthly Downloads

217

Version

1.2

License

Unlimited

Maintainer

Maengseok Noh

Last Published

March 17th, 2016

Functions in mdhglm (1.2)

mdhglm-package

Multivariate Double Hierarchical Genearlized Linear Models
DHGLMMODELING

Defining the Fixed and Random Models for the Mean and Dispersion parameters in DHGLMs
sch

Schizophrenic Behaviour Data
jointfit

Fitting Multivariate Double Hierarchical Generalized Linear Models using h-likelihood Approach
eg

Ethylene Glycol Data