dhglm: Double Hierarchical Generalized Linear Models
Version 1.7

Double hierarchical generalized linear models in which the mean, dispersion parameters for variance of random effects, and residual variance (overdispersion) can be further modeled as random-effect models.

AuthorYoungjo Lee, Maengseok Noh
Date of publication2017-05-01 10:38:07 UTC
MaintainerMaengseok Noh <msnoh@pknu.ac.kr>
LicenseUnlimited
Version1.7
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("dhglm")

Getting started

Package overview

Popular man pages

crack_growth: Crack-growth Data
dhglmfit: Fitting Double Hierarchical Generalized Linear Models using...
DHGLMMODELING: Defining the Fixed and Random Models for the Mean and...
dhglm-package: Double Hierarchical Genearlized Linear Models
epilepsy: Epilepsy Seizures Data
residual.dhglm: Produce Model-Checking Plots for a Double Hierarchical...
See all...

All man pages Function index File listing

Man pages

crack_growth: Crack-growth Data
dhglmfit: Fitting Double Hierarchical Generalized Linear Models using...
DHGLMMODELING: Defining the Fixed and Random Models for the Mean and...
dhglm-package: Double Hierarchical Genearlized Linear Models
epilepsy: Epilepsy Seizures Data
residual.dhglm: Produce Model-Checking Plots for a Double Hierarchical...

Functions

Files

NAMESPACE
data
data/data_epilepsy.rda
data/data_crack_growth.rda
R
R/subbars.R
R/plotdhglm.R
R/hglmfit_corr.R
R/HGLMFrames.R
R/findplus.R
R/dhglmfit.R
R/dhglmfit_run.R
R/DHGLMMODELING.R
R/nobars.R
R/HGLMFactorList.R
R/expandSlash.R
R/slashTerms.R
R/dhglmfit_run_sv.R
R/findbars.R
MD5
DESCRIPTION
man
man/dhglmfit.Rd
man/dhglm-package.Rd
man/epilepsy.Rd
man/crack_growth.Rd
man/residual.dhglm.Rd
man/DHGLMMODELING.Rd
dhglm documentation built on May 19, 2017, 5:37 p.m.

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