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.

4.90 score 376 scripts 5.3k downloads 4 mentions 9 exports 10 dependencies

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

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:betamfxbetaorlogitmfxlogitornegbinirrnegbinmfxpoissonirrpoissonmfxprobitmfx

Dependencies:betaregflexmixFormulalatticelmtestMASSmodeltoolsnnetsandwichzoo

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

Rendered frommfxarticle.Rnwusingutils::Sweaveon Nov 14 2024.

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