jmdem: 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) <doi:10.1016/j.csda.2016.04.015>.

Getting started

Package details

AuthorKa Yui Karl Wu
MaintainerKa Yui Karl Wu <[email protected]>
Package repositoryView on CRAN
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jmdem documentation built on April 27, 2018, 9:03 a.m.