Package: mfx 1.2-2

mfx: Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs

Estimates probit, logit, Poisson, negative binomial, and beta regression models, returning their marginal effects, odds ratios, or incidence rate ratios as an output. Greene (2008, pp. 780-7) provides a textbook introduction to this topic.

Authors:Alan Fernihough [aut, cre], Arne Henningsen [ctb]

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mfx.pdf |mfx.html
mfx/json (API)
NEWS

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

Peer review:

On CRAN:

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

9 exports 1.24 score 10 dependencies 4 mentions 320 scripts 3.9k downloads

Last updated 6 years agofrom:5d437845fd. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winOKSep 15 2024
R-4.5-linuxOKSep 15 2024
R-4.4-winOKSep 15 2024
R-4.4-macOKSep 15 2024
R-4.3-winOKSep 15 2024
R-4.3-macOKSep 15 2024

Exports:betamfxbetaorlogitmfxlogitornegbinirrnegbinmfxpoissonirrpoissonmfxprobitmfx

Dependencies:betaregflexmixFormulalatticelmtestMASSmodeltoolsnnetsandwichzoo

Marginal Effects for Generalized Linear Models: The mfx Package for R

Rendered frommfxarticle.Rnwusingutils::Sweaveon Sep 15 2024.

Last update: 2019-02-06
Started: 2019-02-06