pool_bootstrap_normal: Bootstrap Pooling via normal approximation

In rbmi: Reference Based Multiple Imputation

Bootstrap Pooling via normal approximation

Description

Get point estimate, confidence interval and p-value using the normal approximation.

Usage

pool_bootstrap_normal(est, conf.level, alternative)

Arguments

est	a numeric vector of point estimates from each bootstrap sample.
conf.level	confidence level of the returned confidence interval. Must be a single number between 0 and 1. Default is 0.95.
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".

Details

The point estimate is taken to be the first element of est. The remaining n-1 values of est are then used to generate the confidence intervals.

rbmi documentation built on Oct. 16, 2024, 5:09 p.m.