Builds a confidence interval for the mean of a vector of interest, given importance sampling weights.
imp_confint(x, conf = 0.95, .data = cur_plans())<data-masking> the vector to
build importance sampling confidence intervals for.
The confidence level for the intervals.
a redist_plans object
A tibble with three columns: X, X_lower, and
X_upper, where X is the name of the vector of interest,
containing the mean and confidence interval. When used inside
summarize() this will create three columns in the
output data.