Hi, There's lit on how to adjust variance in the presence of positive spatial autocorrelation to properly inflate standard error estimates in linear regression by changing observed N to effective N. There is an R package to do this too. Is anyone aware of a way in R (or by hand) to do the same for logistic regression? I'm drawing a blank as SE estimation in logistic regression is not as straightforward of an affair. Thanks.-Seth Myers -- View this message in context: http://n4.nabble.com/effective-sample-size-in-logistic-regression-w-spat-autocorr-tp1563246p1563246.html Sent from the R help mailing list archive at Nabble.com.
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