Package: jmdem 1.0.1

Ka Yui Karl Wu

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>.

Authors:Ka Yui Karl Wu

jmdem_1.0.1.tar.gz
jmdem_1.0.1.tar.gz(r-4.7-any)jmdem_1.0.1.tar.gz(r-4.6-any)
jmdem_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
jmdem/json (API)

# Install 'jmdem' in R:
install.packages('jmdem', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.08 score 12 scripts 186 downloads 19 exports 2 dependencies

Last updated from:5afc1049ce. Checks:2 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE108
source / vignettesOK168
linux-release-x86_64NOTE112
wasm-releaseOK83

Exports:anova.jmdemfamily.jmdemformula.jmdemgetdata.jmdem.simjmdemjmdem.controljmdem.fitjmdem.simmodel.matrix.jmdempredict.jmdemprint.summary.jmdemresiduals.jmdemscore.jmdemsimdata.jmdem.simstat.anova.jmdemsummary.jmdemsummary.jmdem.simupdate.jmdemwald.jmdem

Dependencies:statmodVGAM