Overview | Motivating example: a clinical trial with multiple endpoints | A. one sample mean: primary endpoint | B. two sample comparison: secondary endpoint | C. binary clinical endpoint: safety outcome | D. continuous biomarker association | A unified evidential summary | Reporting multiple endpoints | Interpretation | Scope | References
Package: evidenceratio 0.1.0
Dylan Lawless
evidenceratio: Likelihood-Based Evidence Ratios for Classical Statistical Tests
Implements likelihood-based evidence ratios for unified reporting in classical statistical testing. The package reports effect estimates, uncertainty intervals, and likelihood ratios on the log 10 scale derived from a single statistical model. It applies to standard normal mean tests, contingency tables, and regression coefficients, and provides a direct evidential measure while retaining classical error guarantees. For the Evidence Ratio Reporting Standard see Lawless (2026) <doi:10.5281/zenodo.18261076>.
Authors:
evidenceratio_0.1.0.tar.gz
evidenceratio_0.1.0.tar.gz(r-4.7-any)evidenceratio_0.1.0.tar.gz(r-4.6-any)
evidenceratio_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
evidenceratio/json (API)
| # Install 'evidenceratio' in R: |
| install.packages('evidenceratio', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:3de157d205. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 117 | ||
| source / vignettes | OK | 175 | ||
| linux-release-x86_64 | OK | 122 | ||
| wasm-release | OK | 94 |
Exports:evidence_test
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Likelihood-based evidence ratio test | evidence_test |