dag_test_ISS

Implements the DAG testing procedure given in Algorithm 1 by MRCS2023;textualISS.

Methodology for subgroup selection in the context of isotonic regression including methods for sub-Gaussian errors, classification, homoscedastic Gaussian errors and quantile regression. See the documentation of ISS(). Details can be found in the paper by Müller, Reeve, Cannings and Samworth (2023) <arXiv:2305.04852v2>.

Manuel M. Müller

Isotonic Subgroup Selection

Henry W. J. Reeve

Timothy I. Cannings

Richard J. Samworth

dag_test_ISS function

<dl><dt>X0</dt>
<dd>a numeric matrix giving points corresponding to hypotheses.</dd>
<dt>p</dt>
<dd>a numeric vector taking values in (0, 1] such that <code>length(p) == nrow(X0)</code>.</dd>
<dt>alpha</dt>
<dd>a numeric value in (0, 1] specifying the Type I error rate.</dd></dl>

Arguments

dag_test_ISS — dag_test_ISS

<dl>

<dt>X0</dt>
<dd>a numeric matrix giving points corresponding to hypotheses.</dd>


<dt>p</dt>
<dd>a numeric vector taking values in (0, 1] such that <code>length(p) == nrow(X0)</code>.</dd>


<dt>alpha</dt>
<dd>a numeric value in (0, 1] specifying the Type I error rate.</dd>

</dl>

dag_test_ISS: dag_test_ISS

Description

Usage

Value

Arguments

References

Examples