R help - Aug 2012 - Partial Likelihood

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:
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Sent from the R help mailing list archive at Nabble.com.

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 <mammas_k at 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 at 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:
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