Fitting Joint Mean and Dispersion Effects Models

Joint mean and dispersion effects models fit the mean and dispersion parameters of a response variable by two separate linear models, the mean and dispersion submodels, simultaneously. It also allows the users to choose either the deviance or the Pearson residuals as the response variable of the dispersion submodel. Furthermore, the package provides the possibility to nest the submodels in one another, if one of the parameters has significant explanatory power on the other. Wu & Li (2016) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.1 by Ka Yui Karl Wu, 2 years ago

Browse source code at

Authors: Ka Yui Karl Wu

Documentation:   PDF Manual  

GPL-2 license

Imports VGAM, statmod

See at CRAN