# Posts Tagged ‘ Logit ’

## Probit/Logit Marginal Effects in R

April 23, 2012
By

The common approach to estimating a binary dependent variable regression model is to use either the logit or probit model. Both are forms of generalized linear models (GLMs), which can be seen as modified linear regressions that allow the dependent variable to originate from non-normal distributions. The coefficients in a linear regression model are marginal

## Stata-like Marginal Effects for Logit and Probit Models in R [2]

May 18, 2011
By

My thanks to those who emailed comments and suggestions for my ‘mfx’ function, I’m happy that I could fill a void for some people. I also received a request/suggestion from Tony Cookson, along with a helpful fix for a bug in the code, to include an option that would allow the user to specify values

$Stata-like Marginal Effects for Logit and Probit Models in R$