compute_cdf

Computes the empirical 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

compute_cdf function

<dl><dt>Y</dt>
<dd>(matrix): n x 1 matrix of observed data.</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 of the Data — compute_cdf

<dl>

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

compute_cdf: Empirical CDF of the Data

Description

Usage

Value

Arguments