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jmdem  

Fitting Joint Mean and Dispersion Effects Models
View on CRAN: Click here


Download and install jmdem package within the R console
Install from CRAN:
install.packages("jmdem")

Install from Github:
library("remotes")
install_github("cran/jmdem")

Install by package version:
library("remotes")
install_version("jmdem", "1.0.1")



Attach the package and use:
library("jmdem")
Maintained by
Ka Yui Karl Wu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-27
Latest Update: 2020-03-04
Description:
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) .
How to cite:
Ka Yui Karl Wu (2018). jmdem: Fitting Joint Mean and Dispersion Effects Models. R package version 1.0.1, https://cran.r-project.org/web/packages/jmdem. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.0 (2018-04-27 10:40)
Other packages that cited jmdem R package
View jmdem citation profile
Other R packages that jmdem depends, imports, suggests or enhances
Complete documentation for jmdem
Functions, R codes and Examples using the jmdem R package
Some associated functions: anova.jmdem . jmdem.control . jmdem . jmdem.sim . jmdem.summaries . model.matrix.jmdem . predict.jmdem . score.jmdem . stat.anova.jmdem . summary.jmdem . summary.jmdem.sim . update.jmdem . 
Some associated R codes: jmdem_1.0.1.R .  Full jmdem package functions and examples
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