Extract Stata estimates to use in R

Before you flame me, the reason I am using Stata is that I didn't get a response to my query below, so I have my cluster robust covariance matrix in Stata [one line of code], but now I need to take all those parameter estimates and put them back in R so I can simulate properly.

Anyone done this before?

The Stata documentation is too esoteric for me...

http://www.stata.com/help.cgi?ereturn
Save coefficient vector and variance-covariance matrix:
ereturn post [b [V [C]]] [, depname(string) obs(#) dof(#) esample(varname) properties(string) ] 

Brr??

-----Original Message-----
From: bearmarketsrule at inbox.com
Sent: Fri, 8 May 2009 09:48:19 -0800
To: r-help at r-project.org
Subject: Probit cluster-robust standard errors

If I wanted to fit a logit model and account for clustering of
observations, I would do something like:

library(Design)
f <- lrm(Y1 ~ X1 + X2, x=TRUE, y=TRUE, data=d)
g <- robcov(f, d$st.year)

What would I do if I wanted to do the same thing with a probit model?
?robcov says the input model must come from the Design package, but the
Design package appears not to do probit?

Thanks very much!

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