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.

Version: 0.1.0
Depends: R (≥ 3.3.0)
Imports: stats, data.table, parallel
Published: 2017-09-17
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

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Reference manual: rbtt.pdf
Package source: rbtt_0.1.0.tar.gz
Windows binaries: r-devel: rbtt_0.1.0.zip, r-release: rbtt_0.1.0.zip, r-oldrel: rbtt_0.1.0.zip
OS X El Capitan binaries: r-release: rbtt_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: rbtt_0.1.0.tgz

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