WannabeSmith/rbtt: Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error for Non-Negative, Zero-Inflated Data
Version 0.1.0

Tu & Zhou (1999) showed that comparing the means of populations whose data-generating distributions are non-negative with excess zero observations is a problem of great importance in the analysis of medical cost data. In the same study, Tu & Zhou discuss that it can be difficult to control type-I error rates of general-purpose statistical tests for comparing the means of these particular data sets. This package allows users to perform a modified bootstrap-based t-test that aims to better control type-I error rates in these situations.

Getting started

Package details

LicenseGPL-3 | file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
WannabeSmith/rbtt documentation built on Sept. 18, 2017, 9:17 p.m.