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 |
| 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 |
| macOS binaries: | r-release: rbtt_0.1.0.tgz, r-oldrel: rbtt_0.1.0.tgz |
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