Re: [R] glm.nb versus glm estimation of theta.

-project.org] On > Behalf Of hesicaia [dbo...@dal.ca] > Sent: 14 August 2009 04:31 > To: r-help@r-project.org > Subject: [R] glm.nb versus glm estimation of theta. > > Hello, > > I have a question regarding estimation of the dispersion parameter (theta) > for generalized linear

Re: [R] glm.nb versus glm estimation of theta.

ld be close to (though not necessarily equal to) unity. From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of hesicaia [dbo...@dal.ca] Sent: 14 August 2009 04:31 To: r-help@r-project.org Subject: [R] glm.nb versus glm estimation of

Re: [R] glm.nb versus glm estimation of theta.

On Thu, 13 Aug 2009, hesicaia wrote: Hello, I have a question regarding estimation of the dispersion parameter (theta) for generalized linear models with the negative binomial error structure. As The theta is different from the dispersion. In the usual GLM notation: E[y] = mu VAR[y] =

[R] glm.nb versus glm estimation of theta.

Hello, I have a question regarding estimation of the dispersion parameter (theta) for generalized linear models with the negative binomial error structure. As I understand, there are two main methods to fit glm's using the nb error structure in R: glm.nb() or glm() with the negative.binomial(the