Package: rbtt 0.1.0

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%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.

Authors:Ian Waudby-Smith [aut, cre], Pengfei Li [aut]

rbtt_0.1.0.tar.gz
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rbtt.pdf |rbtt.html
rbtt/json (API)

# Install 'rbtt' in R:
install.packages('rbtt', repos = c('https://wannabesmith.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/wannabesmith/rbtt/issues

On CRAN:

1 exports 0.69 score 1 dependencies 1 scripts 747 downloads

Last updated 7 years agofrom:eece87f602. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winOKSep 06 2024
R-4.5-linuxOKSep 06 2024
R-4.4-winOKSep 06 2024
R-4.4-macOKSep 06 2024
R-4.3-winOKSep 06 2024
R-4.3-macOKSep 06 2024

Exports:rbtt

Dependencies:data.table