Odds ratios instead of logits in stargazer() LaTeX output

Question

When using stargazer to create a LaTeX table on a logistic regression object the standard behaviour is to output logit-values of each model. Is it possible to get exp(logit) instead? That is, can i get the Odds-ratios instead?

In the stargazer documentation the following mentions the "Coef"-argument, but I dont understand if this can enable the exp(logits).

Coef: a list of numerical vectors that will replace the default coefficient values for each model. Element names will be used to match coefficients to individual covariates, and should therefore match covariate names. A NULL vector indicates that, for a given model, the default set of coefficients should be used. By contrast, an NA vector means that all of the model’s coefficients should be left blank.

Answer 1

As per symbiotic comment in 2014, more recent versions of ''stargazer'' have the options ''apply.*'' for ''coef'' ''se'' ''t'' ''p'' and ''ci'' allowing the direct transformation of these statistics.

apply.coef a function that will be applied to the coefficients.
apply.se a function that will be applied to the standard errors.
apply.t a function that will be applied to the test statistics.
apply.p a function that will be applied to the p-values.
apply.ci a function that will be applied to the lower and upper bounds of the confidence intervals.

Meaning you can directly use...

stargazer(model, 
          apply.coef = exp,
          apply.se   = exp)

EDIT : I have noticed however that simply exponentiating the CIs does not give what you would expect.

EDIT : You can obtain the correct CIs using the method described here.