Package: rbtt
Title: Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error
        for Non-Negative, Zero-Inflated Data
Version: 0.1.0
Authors@R: c(
  person("Ian", "Waudby-Smith", email = "iwaudbysmith@gmail.com", role = c("aut", "cre")),
  person("Pengfei", "Li", email = "pengfei.li@uwaterloo.ca", role = "aut")
  )  
Description: 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.
Depends: R (>= 3.3.0)
Imports: stats, data.table, parallel
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-09-17 16:22:03 UTC; iws
Author: Ian Waudby-Smith [aut, cre],
  Pengfei Li [aut]
Maintainer: Ian Waudby-Smith <iwaudbysmith@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-17 17:15:22 UTC
Built: R 4.6.0; ; 2026-04-27 01:13:36 UTC; unix
