evidence_test

Computes an effect estimate, a Wald-style uncertainty interval, and a
likelihood-based evidence ratio (log10 scale) from a single statistical model.

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>.

Dylan Lawless

evidenceratio

Likelihood-Based Evidence Ratios for Classical Statistical Tests

evidence_test function

<dl><dt>...</dt>
<dd>Arguments defining the data and model.</dd></dl>

Arguments

Likelihood-based evidence ratio test — evidence_test

<dl>

<dt>...</dt>
<dd>Arguments defining the data and model.</dd>

</dl>

evidence_test: Likelihood-based evidence ratio test

Description

Usage

Value

Arguments

Examples