(Regarding bootstrapping logistic regression.)
If the number of rows with Y=1 is small, it doesn't matter that n is huge.
If both number of successes and failures is huge, then ad Ripley notes
you can use asymptotic CIs. The mean difference in predicted probabilities
is a nonlinear function of t
The only reason the boot package will take more memory for 2000
replications than 10 is that it needs to store the results. That is
not to say that on a 32-bit OS the fragmentation will not get worse,
but that is unlikely to be a significant factor.
As for the methodology: 'boot' is support s
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