In addition to Bert's suggestion of r sig mixed models (which I second), I would encourage you to create a more detailed example and explanation of what you hope to accomplish. Sounds a bit like an auto regressive structure, but more details would be good.
Cheers, Josh On Aug 4, 2012, at 9:34, Bert Gunter <gunter.ber...@gene.com> wrote: > Sounds like generalized linear mixed modeling (glmm) to me. Try > posting to the r-sig-mixed-models list rather than here to increase > the likelihood of a useful response. > > -- Bert > > On Sat, Aug 4, 2012 at 3:55 AM, doctoratza <mamma...@live.com> wrote: >> Hello everyone, >> >> i would like to ask if everyone knows how to perfom a glm partial likelihood >> estimation in a time series whrere dependence exists. >> >> lets say that i want to perform a logistic regression for binary data (0, 1) >> with binary responses which a re the previous days. >> >> for example: >> >> >> logistic<-glm(dat$Day~dat$Day1+dat$Day2, family=binomial(link="logit")) >> >> where dat$Day (0 or 1) is the current day and dat$Day1 is one day before (0 >> or 1). >> >> is it possible that R performs partial likelihood estimation automatically? >> >> >> thank you in advance >> >> Konstantinos Mammas >> >> >> >> >> -- >> View this message in context: >> http://r.789695.n4.nabble.com/Partial-Likelihood-tp4639159.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> 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. > > > > -- > > Bert Gunter > Genentech Nonclinical Biostatistics > > Internal Contact Info: > Phone: 467-7374 > Website: > http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm > > ______________________________________________ > 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.