Bootstrap with logistic regression
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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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