summary.avlm

Computes a summary for an <code>avlm</code> object, a linear model enhanced with anytime-valid inference.
In addition to the standard <code>lm</code> summary statistics, the p-values for the coefficient tests are
recalculated using an anytime-valid method.

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

summary.avlm function

<dl><dt>object</dt>
<dd>An <code>avlm</code> object generated by <code>av.lm</code>.</dd>
<dt>...</dt>
<dd>Additional arguments passed to or from other methods.</dd></dl>

Arguments

Summary Method for Anytime-Valid lm (avlm) Objects — summary.avlm

<dl>

<dt>object</dt>
<dd>An <code>avlm</code> object generated by <code>av.lm</code>.</dd>


<dt>...</dt>
<dd>Additional arguments passed to or from other methods.</dd>

</dl>

summary.avlm: Summary Method for Anytime-Valid lm (avlm) Objects

Description

Usage

Value

Arguments