Re: [R] Poisson Maximum Likelihood Estimation

2008-01-28 Thread Paul Sweeting
David Winsemius Cc: [EMAIL PROTECTED] Subject: Re: [R] Poisson Maximum Likelihood Estimation >hits=-2.6 tests=BAYES_00 >X-USF-Spam-Flag: NO >On Fri, 2008-01-25 at 14:21 +, David Winsemius wrote: >> "Paul Sweeting" <[EMAIL PROTECTED]> wrote in >> news:[EMAIL

Re: [R] Poisson Maximum Likelihood Estimation

2008-01-25 Thread Gavin Simpson
hits=-2.6 tests=BAYES_00 X-USF-Spam-Flag: NO On Fri, 2008-01-25 at 14:21 +, David Winsemius wrote: > "Paul Sweeting" <[EMAIL PROTECTED]> wrote in > news:[EMAIL PROTECTED]: > The most straightforward approach would be to use glm() with > family="poisson", a.k.a Poisson regression. Don't ask

Re: [R] Poisson Maximum Likelihood Estimation

2008-01-25 Thread David Winsemius
"Paul Sweeting" <[EMAIL PROTECTED]> wrote in news:[EMAIL PROTECTED]: > Hi > > I am trying to carry out some maximum likelihood estimation and I'm > not making much headway, and I'm hoping that someone will be able to > point me in the right direction. > > I am modelling mortality statistics. O

[R] Poisson Maximum Likelihood Estimation

2008-01-25 Thread Paul Sweeting
Hi I am trying to carry out some maximum likelihood estimation and I'm not making much headway, and I'm hoping that someone will be able to point me in the right direction. I am modelling mortality statistics. One way to do this is to model the mortality rate (or, more accurately, log of the mor