formatpv

<p>boolean. Set to <code>TRUE</code>to display <code>"p="</code>, to
<code>FALSE</code> to display only the value.</p>

text

internal

Algorithms for (i) unsupervised learning for dataset with
missing data and/or left-censored data, using multiple imputation and
consensus clustering ; (ii) semi-supervised learning with a survival
endpoint (right-censored) for complete or incomplete datasets, using
multiple imputation and consensus clustering in the latter case. The
methods are described in Faucheux et al. (2021)
<doi:10.1002/bimj.201900366> and Faucheux et al. (2021)
<doi:10.1002/bimj.202000365>, respectively.

Lilith Faucheux

doMIsaul

Do Multiple Imputation-Based Semi-Supervised and Unsupervised
Learning

Sylvie Chevret

Matthieu Resche-Rigon

Marie Perrot-Dock<c3><a8>s

Eric Han

formatpv function

Apply format to p-values — formatpv

Apply format to p-values

formatpv: Apply format to p-values

Description

Usage

Arguments

Value