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A quick example of bootstraping a logistic regression. Nothing special here, example could be extended to any other type of model that has a coef()
method.
library(boot) logit_test <- function(d,indices) { d <- d[indices,] fit <- glm(your ~ formula, data = d, family = "binomial") return(coef(fit)) } boot_fit <- boot( data = your_data, statistic = logit_test, R = 1e5 )
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