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glmms
2008 Mar 19
1
analyzing binomial data with spatially correlated errors
Dear R users,
I want to explain binomial data by a serie of fixed effects. My problem is
that my binomial data are spatially correlated. Naively, I thought I could
found something similar to gls to analyze such data. After some reading, I
decided that lmer is probably to tool I need. The model I want to fit would
look like
lmer ( cbind(n.success,n.failure) ~ (x1 + x2 + ... + xn)^2 ,