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

Tu & Zhou (1999) <doi:10.1002/(SICI)1097-0258(19991030)18:20%3C2749::AID-SIM195%3E3.0.CO;2-C> 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

AuthorIan Waudby-Smith [aut, cre], Pengfei Li [aut]
MaintainerIan Waudby-Smith <[email protected]>
LicenseGPL-3 | file LICENSE
Package repositoryView on CRAN
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rbtt documentation built on May 2, 2019, 4:16 a.m.