getpvalue

Computes the distribution function of the multivariate normal distribution.

The Biomarker Optimal Segmentation System R package, 'bossR', is designed for precision medicine, helping to identify individual traits using biomarkers. It focuses on determining the most effective cutoff value for a continuous biomarker, which is crucial for categorizing patients into two groups with distinctly different clinical outcomes. The package simultaneously finds the optimal cutoff from given candidate values and tests its significance. Simulation studies demonstrate that 'bossR' offers statistical power and false positive control non-inferior to the permutation approach (considered the gold standard in this field), while being hundreds of times faster.

Xuekui Zhang

bossR

Biomarker Optimal Segmentation System

Liuyi Lan

Xing Li

Xuanjin Cheng

getpvalue function

<dl><dt>threshold</dt>
<dd>A number.</dd>
<dt>mu</dt>
<dd>The mean vector of length n.</dd>
<dt>n</dt>
<dd>A number indicates dimension.</dd>
<dt>Sigma</dt>
<dd>The correlation matrix of dimension n.</dd></dl>

Arguments

Computes the distribution function of the multivariate normal distribution — getpvalue

<dl>

<dt>threshold</dt>
<dd>A number.</dd>


<dt>mu</dt>
<dd>The mean vector of length n.</dd>


<dt>n</dt>
<dd>A number indicates dimension.</dd>


<dt>Sigma</dt>
<dd>The correlation matrix of dimension n.</dd>

</dl>

getpvalue: Computes the distribution function of the multivariate normal distribution

Description

Usage

Value

Arguments