fit_boot

<p>A list of the results for bootstrap example.</p>

datasets

Provides a framework to perform soft clustering using
simplex-structured matrix factorisation (SSMF). The package contains a set of functions
for determining the optimal number of prototypes, the optimal algorithmic
parameters, the estimation confidence intervals and the diversity of clusters.
Abdolali, Maryam & Gillis, Nicolas (2020) <doi:10.1137/20M1354982>.

Wenxuan Liu

MetabolSSMF

Simplex-Structured Matrix Factorisation for Metabolomics
Analysis

Lorraine Brennan

fit_boot function

<p>A list of bootstrap result, including the values of estimated prototype matrix (\(W\)),
the lower bound of confidence intervals and the upper bound of confidence intervals.</p>

fit_boot: Example results of bootstrap.

Description

Usage

Arguments

Format