epil2: Seizure Counts for Epileptics
In bbolker/glmmadmb: Generalized Linear Mixed Models using 'AD Model Builder'

Description Usage Format References See Also Examples

Extended version of the epil dataset of the MASS package. The three transformed variables Visit, Base, and Age used by Booth et al. (2003) have been added to epil.

epil2

A data frame with 236 observations on the following 12 variables:

y: an integer vector.
trt: a factor with levels "placebo" and "progabide".
base: an integer vector.
age: an integer vector.
V4: an integer vector.
subject: an integer vector.
period: an integer vector.
lbase: a numeric vector.
lage: a numeric vector.
Visit: (rep(1:4,59) - 2.5) / 5.
Base: log(base/4).
Age: log(age).

Booth, J.G., G. Casella, H. Friedl, and J.P. Hobert. 2003. Negative binomial loglinear mixed models. Statistical Modelling 3:179–191.

glmmadmb.

glmmADMB-package.

epil2$subject <- factor(epil2$subject)
## Not run: 
(fm <- glmmadmb(y~Base*trt+Age+Visit+(Visit|subject),
                data=epil2, family="nbinom"))

## End(Not run)