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 |
| 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 |
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