Kerry Bush wrote:
I tried lrm in library(Design) but there is always
some error message. Is this function really doing the
weighted logistic regression as maximizing the
following likelihood:
\sum w_i*(y_i*\beta*x_i-log(1+exp(\beta*x_i)))
Does anybody know a better way to fit this kind of
model in
I was going to say ``Why not just use glm()?'', but when I tried the
example given in the original message I got a different but similarly
nervous-making warning:
Warning in eval(expr, envir, enclos) : non-integer #successes
in a binomial glm!
Looking into the code I found that
