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.
Version: 0.1.0 Depends: R (≥ 3.3.0) Imports: stats, data.table, parallel Published: 2017-09-17 DOI: 10.32614/CRAN.package.rbtt Author: Ian Waudby-Smith [aut, cre], Pengfei Li [aut] Maintainer: Ian Waudby-Smith <iwaudbysmith at gmail.com> License: GPL-3 | file LICENSE NeedsCompilation: no Materials: README CRAN checks: rbtt results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rbtt to link to this page.
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