calc_pvalue

compute Monte Carlo p-value with correction
based on formula from Page 158 of 'Bootstrap methods and their application'
By Davison &amp; Hinkley 1997

internal

An interface to build machine learning models for
classification and regression problems. 'mikropml' implements the ML
pipeline described by Topçuoğlu et al. (2020)
<doi:10.1128/mBio.00434-20> with reasonable default options for data
preprocessing, hyperparameter tuning, cross-validation, testing, model
evaluation, and interpretation steps. See the website
<https://www.schlosslab.org/mikropml/> for more information,
documentation, and examples.

Kelly Sovacool

mikropml

User-Friendly R Package for Supervised Machine Learning
Pipelines

Begüm Topçuoğlu

Zena Lapp

Evan Snitkin

Jenna Wiens

Patrick Schloss

Nick Lesniak

Courtney Armour

Sarah Lucas

calc_pvalue function

<dl><dt>vctr</dt>
<dd>vector of statistics</dd>
<dt>test_stat</dt>
<dd>the test statistic</dd></dl>

Arguments

Kelly Sovacool <a href="/link/sovacool%40umich.edu?package=mikropml&version=1.6.1" data-mini-rdoc="mikropml::sovacool@umich.edu">sovacool@umich.edu</a>

Author

Calculate the p-value for a permutation test — calc_pvalue

<dl>

<dt>vctr</dt>
<dd>vector of statistics</dd>


<dt>test_stat</dt>
<dd>the test statistic</dd>

</dl>

Kelly Sovacool <a href='mailto:sovacool@umich.edu'>sovacool@umich.edu</a>

calc_pvalue: Calculate the p-value for a permutation test

Description

Usage

Value

Arguments

Author