compute_cdf_diff

Computes the difference between the empirical CDFs of the data and the
predictions.

Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2025) <doi:10.1093/bioinformatics/btaf055>.

Stephen Salerno

Inference on Predicted Data

Jiacheng Miao

Awan Afiaz

Kentaro Hoffman

Jesse Gronsbell

Jianhui Gao

David Cheng

Anna Neufeld

Qiongshi Lu

Tyler H McCormick

Jeffrey T Leek

compute_cdf_diff function

<dl><dt>Y</dt>
<dd>(matrix): n x 1 matrix of observed data.</dd>
<dt>f</dt>
<dd>(matrix): n x 1 matrix of predictions.</dd>
<dt>grid</dt>
<dd>(matrix): Grid of values to compute the CDF at.</dd>
<dt>w</dt>
<dd>(vector, optional): n-vector of sample weights.</dd></dl>

Arguments

Empirical CDF Difference — compute_cdf_diff

<dl>

<dt>Y</dt>
<dd>(matrix): n x 1 matrix of observed data.</dd>


<dt>f</dt>
<dd>(matrix): n x 1 matrix of predictions.</dd>


<dt>grid</dt>
<dd>(matrix): Grid of values to compute the CDF at.</dd>


<dt>w</dt>
<dd>(vector, optional): n-vector of sample weights.</dd>

</dl>

Empirical CDF Difference

compute_cdf_diff: Empirical CDF Difference

Description

Usage

Value

Arguments