zconfint_generic

Calculates normal confidence intervals for a given alternative at a given
significance level.

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

zconfint_generic function

<dl><dt>mean</dt>
<dd>(float): Estimated normal mean.</dd>
<dt>std_mean</dt>
<dd>(float): Estimated standard error of the mean.</dd>
<dt>alpha</dt>
<dd>(float): Significance level in [0,1]</dd>
<dt>alternative</dt>
<dd>(string): Alternative hypothesis, either 'two-sided',
'larger' or 'smaller'.</dd></dl>

Arguments

Normal Confidence Intervals — zconfint_generic

<dl>

<dt>mean</dt>
<dd>(float): Estimated normal mean.</dd>


<dt>std_mean</dt>
<dd>(float): Estimated standard error of the mean.</dd>


<dt>alpha</dt>
<dd>(float): Significance level in [0,1]</dd>


<dt>alternative</dt>
<dd>(string): Alternative hypothesis, either 'two-sided',
'larger' or 'smaller'.</dd>

</dl>

Normal Confidence Intervals

zconfint_generic: Normal Confidence Intervals

Description

Usage

Value

Arguments