assert_binary_categorical_X

Works with rq/rqs even when model.frame or mod$x are not stored.

internal

The approach is based on the closed testing procedure to control familywise error rate in a strong sense.
The local tests implemented are Wald-type and rank-score.
The method is described in De Santis, et al., (2025), <doi:10.48550/arXiv.2511.07999>.

Angela Andreella

quasar

Valid Inference on Multiple Quantile Regressions

Anna Vesely

assert_binary_categorical_X function

<dl><dt>mod</dt>
<dd>An "rq"/"rqs" object</dd>
<dt>X</dt>
<dd>Character scalar: name of the covariate of interest</dd></dl>

Arguments

Assert that X is numeric or (if categorical) has at most two levels — assert_binary_categorical_X

<dl>

<dt>mod</dt>
<dd>An "rq"/"rqs" object</dd>


<dt>X</dt>
<dd>Character scalar: name of the covariate of interest</dd>

</dl>

assert_binary_categorical_X: Assert that X is numeric or (if categorical) has at most two levels

Description

Usage

Arguments