This generic function converts a fitted model object into an anytime-valid version.
The conversion is performed by the appropriate S3 method based on the class of the input model.

Anytime-valid inference for linear models, namely, sequential t-tests, sequential F-tests, and confidence sequences with time-uniform Type-I error and coverage guarantees. This allows hypotheses to be continuously tested without sacrificing false positive guarantees. It is based on the methods documented in Lindon et al. (2022) <doi:10.48550/arXiv.2210.08589>.

Michael Lindon

avlm

Safe Anytime Valid Inference for Linear Models

av function

<dl><dt>model</dt>
<dd>A fitted model object (e.g., an object of class <code>aov</code> or <code>lm</code>).</dd>
<dt>g</dt>
<dd>An integer precision parameter for anytime-valid inference. Defaults to 1.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the method.</dd></dl>

Arguments

Anytime-valid Conversion Generic Function — av

<dl>

<dt>model</dt>
<dd>A fitted model object (e.g., an object of class <code>aov</code> or <code>lm</code>).</dd>


<dt>g</dt>
<dd>An integer precision parameter for anytime-valid inference. Defaults to 1.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the method.</dd>

</dl>

av: Anytime-valid Conversion Generic Function

Description

Usage

Value

Arguments