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<2749::AID-SIM195>3.0.CO;2-C1097-0258(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.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?No
- Last release09/17/2017
Documentation
Team
Ian Waudby-Smith
Pengfei Li
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Last 30 days
This package has been downloaded 438 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 6,067 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jul 21, 2024 with 68 downloads.
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- Imports1 package