rectified_cdf

Computes the rectified CDF of the data.

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

rectified_cdf function

<dl><dt>Y_l</dt>
<dd>(vector): Gold-standard labels.</dd>
<dt>f_l</dt>
<dd>(vector): Predictions corresponding to the gold-standard labels.</dd>
<dt>f_u</dt>
<dd>(vector): Predictions corresponding to the unlabeled data.</dd>
<dt>grid</dt>
<dd>(vector): Grid of values to compute the CDF at.</dd>
<dt>w_l</dt>
<dd>(vector, optional): Sample weights for the labeled data set.</dd>
<dt>w_u</dt>
<dd>(vector, optional): Sample weights for the unlabeled data set.</dd></dl>

Arguments

Rectified CDF — rectified_cdf

<dl>

<dt>Y_l</dt>
<dd>(vector): Gold-standard labels.</dd>


<dt>f_l</dt>
<dd>(vector): Predictions corresponding to the gold-standard labels.</dd>


<dt>f_u</dt>
<dd>(vector): Predictions corresponding to the unlabeled data.</dd>


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


<dt>w_l</dt>
<dd>(vector, optional): Sample weights for the labeled data set.</dd>


<dt>w_u</dt>
<dd>(vector, optional): Sample weights for the unlabeled data set.</dd>

</dl>

Rectified CDF

rectified_cdf: Rectified CDF

Description

Usage

Value

Arguments