Dear Roberto, It depends on what you mean by "marginal effects," but the effects package will calculate what I would prefer to call "partial effects" for terms in a generalized linear model; it should work fine with objects produced by glm.nb.
I hope this helps, John ------------------------------ John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On > Behalf Of Roberto Patuelli > Sent: October-28-08 7:25 AM > To: r-help@r-project.org > Subject: [R] Marginal effects in negative binomial > > Dear All, > > I carry out negative binomial estimations using the glm.nb command from the > MASS package. > Is there a command or a simple procedure for computing marginal effects from > a glm.nb fitted object? > If these are the same as for a Poisson fitted object (glm), my question > remains how to compute them. > > Thanks in advance for your help. > Roberto Patuelli > > > ******************** > Roberto Patuelli, Ph.D. > Post-doc researcher > Institute for Economic Research (IRE) > University of Lugano (USI) > via Maderno 24, CP 4361 > CH-6904 Lugano > Switzerland > Phone: +41-(0)58-666-4166 > Email: [EMAIL PROTECTED] > ******************** > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
