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mfx (version 1.2-2)

Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs

Description

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.

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Version

Install

install.packages('mfx')

Monthly Downloads

5,709

Version

1.2-2

License

GPL-2 | GPL-3

Maintainer

Alan Fernihough

Last Published

February 6th, 2019

Functions in mfx (1.2-2)

logitmfx

Marginal effects for a logit regression.
poissonirr

Incidence rate ratios for a Poisson regression.
poissonmfx

Marginal effects for a Poisson regression.
logitor

Odds ratios for a logit regression.
probitmfx

Marginal effects for a probit regression.
negbinirr

Incidence rate ratios for a negative binomial regression.
betamfx

Marginal effects for a beta regression.
betaor

Odds ratios for a beta regression.
negbinmfx

Marginal effects for a negative binomial regression.