Tu & Zhou (1999) <10.1002> 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.10.1002>
WannabeSmith/rbtt documentation built on Sept. 18, 2017, 9:17 p.m.
|License||GPL-3 | file LICENSE|
|Package repository||View on GitHub|
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