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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.

Functions (9)

betamfx

Marginal effects for a beta regression.

betaor

Odds ratios for a beta regression.

logitmfx

Marginal effects for a logit regression.

logitor

Odds ratios for a logit regression.

negbinirr

Incidence rate ratios for a negative binomial regression.

negbinmfx

Marginal effects for a negative binomial regression.

poissonirr

Incidence rate ratios for a Poisson regression.

poissonmfx

Marginal effects for a Poisson regression.

probitmfx

Marginal effects for a probit regression.

mfx

Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs

v1.2-2

GPL-2 | GPL-3

Authors

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

Initial release

2019-02-06

mfx

Functions (9)

mfx

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