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mdhglm (version 1.8)

Multivariate Double Hierarchical Generalized Linear Models

Description

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.

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Version

Install

install.packages('mdhglm')

Monthly Downloads

256

Version

1.8

License

Unlimited

Maintainer

Maengseok Noh

Last Published

October 25th, 2018

Functions in mdhglm (1.8)

Bladder Cancer Data

CGD Infection Data

Integrated Circuit Data

Mother's Stress and Children's Morbidity Data

National Merit Scholarship Qualifying Test Data for Twins

Vascular Cognitive Impairment Data

Gas Consumption Data

Injection Moulding data

Orthodontic Growth Data

Smoke Onset Data

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

Kidney Infection Data

Schizophrenic Behaviour Data

Serum Creatinine data

Primary Biliary Cirrhosis Data

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

Crack Growth Data

Epilepsy Seizures Data

Ethylene Glycol Data

Scottish Lip Cancer Data

Survival Time Data for each of Patients on the AIDS Data

Repatead Measures on AIDS Data

Multivariate Double Hierarchical Generalized Linear Models

Pound-dollar Exchange-rate Data

Binary Factor Data

Respiratory Data

Rheumatoid Arthritis Data

Salamander Data

Semiconductor Data

Snoring and Hear Diseae Data

Stroke Patients Data

Train Accident Data