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
RoxygenNote: 6.0.1.9000
Repository: https://wannabesmith.r-universe.dev
Date/Publication: 2017-09-18 20:08:35 UTC
RemoteUrl: https://github.com/wannabesmith/rbtt
RemoteRef: HEAD
RemoteSha: eece87f602686705e68c17778d1bd01f77ecbd47
NeedsCompilation: no
Packaged: 2026-10-10 12:55:50 UTC; root
Author: Ian Waudby-Smith [aut, cre],
  Pengfei Li [aut]
Maintainer: Ian Waudby-Smith <iwaudbysmith@gmail.com>