Bootstrap estimate, standard error and confidence interval

Applies a statistic to the point weights and to every replicate, and summarises it with the bootstrap variance \((1/B)\sum(\theta^*_b - \hat\theta)^2\).

Usage

bootstrap_estimate(boot, statistic, level = 0.95)

boot_total(boot, variable)

boot_mean(boot, variable)

Arguments

boot

a weightflow_boot object.

statistic

a function function(w, data) returning a numeric scalar (or vector) given a weight vector and the data.

level

confidence level for the (normal) interval.

variable

name of the variable to estimate.

Value

A data frame with estimate, se, ci_lower, ci_upper.