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:
rbtt_0.1.0.tar.gz
rbtt_0.1.0.zip(r-4.5)rbtt_0.1.0.zip(r-4.4)rbtt_0.1.0.zip(r-4.3)
rbtt_0.1.0.tgz(r-4.4-any)rbtt_0.1.0.tgz(r-4.3-any)
rbtt_0.1.0.tar.gz(r-4.5-noble)rbtt_0.1.0.tar.gz(r-4.4-noble)
rbtt_0.1.0.tgz(r-4.4-emscripten)rbtt_0.1.0.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/wannabesmith/rbtt/issues
Last updated 7 years agofrom:eece87f602. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:rbtt
Dependencies:data.table
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Perform robust bootstrapped t-tests | rbtt |
