sim_data_y

<code>sim_data_y</code> for simulation with ML-predicted Y

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., (2024) <doi:10.48550/arXiv.2410.09665>.

Stephen Salerno

Inference on Predicted Data

Jiacheng Miao

Awan Afiaz

Kentaro Hoffman

Anna Neufeld

Qiongshi Lu

Tyler H McCormick

Jeffrey T Leek

sim_data_y function

<dl><dt>r</dt>
<dd>imputation correlation</dd>
<dt>binary</dt>
<dd>simulate binary outcome or not</dd></dl>

Arguments

Simulate the data for testing the functions — sim_data_y

<dl>

<dt>r</dt>
<dd>imputation correlation</dd>


<dt>binary</dt>
<dd>simulate binary outcome or not</dd>

</dl>

sim_data_y: Simulate the data for testing the functions

Description

Usage

Value

Arguments