Fitting Joint Mean and Dispersion Effects Models
Analysis of Deviance for Joint Mean and Dispersion Effect Models Fits
Auxiliary for Controlling JMDEM Fitting
Fitting Joint Mean and Dispersion Effects Models
Simulate joint mean and dispersion effects models fits
Accessing Joint Mean and Dispersion Effect Model Fits
Construct Design Matrices
Predict Method for JMDEM Fits
Asymptotic tests for fits of joint mean and dispersion effects models
JMDEM Anova Statistics
Summarising Joint Mean and Dispersion Effects Model Fits
Summarising JMDEM Simulations
Update and Re-fit a JMDEM Call
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>.