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timesinda
2006 Feb 01
1
glm-logistic on discrete-time methods with individual and aggregated data
...e, I noted some discrepancies in
the second example. I might guess that something with weights is going
on, but I did not manage to clearly understand.
Hope that the following example will be more clear than my explanations,
Thanks in advance,
Carlo Giovanni Camarda
rm(list = ls())
# working one
timesIND <- c(rep(1:4, 3), 1, rep(1:2,2), rep(1:3 , 2), rep(1:4,
2))
statusIND <- c(rep(0 ,12), 1, rep(0:1,2), rep(c(0,0,1), 2),
rep(c(0,0,0,1),2))
datiIND <- as.data.frame(cbind(timesIND, statusIND))
datiIND$timesIND <- as.factor(datiIND$timesIND)
timesAGG <- c( 1:4, 1, 1:2,...