Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error for Non-Negative, Zero-Inflated Data R package rbtt version 0.1.0 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. Software Depends: R (>= 3.3.0) Imports: stats, data.table, parallel Ian Waudby-Smith <iwaudbysmith@gmail.com> Comprehensive R Archive Network (CRAN) Ian Waudby-Smith [aut, cre], Pengfei Li [aut] GPL-3 file LICENSE (https://CRAN.R-project.org/package=rbtt/LICENSE) 2017-09-17 application/tgz https://CRAN.R-project.org/package=rbtt doi:10.32614/CRAN.package.rbtt