Concatenate

Generates a single stability object from two stability objects. This function
is used to concatenate results when using <code><a href="/link/nloptr?package=sharp&version=1.4.7" data-mini-rdoc="sharp::nloptr">nloptr</a></code>.

internal

In stability selection (N Meinshausen, P Bühlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>) and consensus clustering (S Monti et al (2003) <doi:10.1023/A:1023949509487>), resampling techniques are used to enhance the reliability of the results. In this package (B Bodinier et al (2025) <doi:10.18637/jss.v112.i05>), hyper-parameters are calibrated by maximising model stability, which is measured under the null hypothesis that all selection (or co-membership) probabilities are identical (B Bodinier et al (2023a) <doi:10.1093/jrsssc/qlad058> and B Bodinier et al (2023b) <doi:10.1093/bioinformatics/btad635>). Functions are readily implemented for the use of LASSO regression, sparse PCA, sparse (group) PLS or graphical LASSO in stability selection, and hierarchical clustering, partitioning around medoids, K means or Gaussian mixture models in consensus clustering.

Barbara Bodinier

sharp

Stability-enHanced Approaches using Resampling Procedures

Concatenate function

<dl><dt>stability1</dt>
<dd>a stability object.</dd>
<dt>stability2</dt>
<dd>another stability object (optional).</dd></dl>

Arguments

Generates a single stability object from two stability objects. This function
is used to concatenate results when using <code><a href='https://rdrr.io/pkg/nloptr/man/nloptr.html'>nloptr</a></code>.

Concatenate stability objects — Concatenate

<dl>

<dt>stability1</dt>
<dd>a stability object.</dd>


<dt>stability2</dt>
<dd>another stability object (optional).</dd>

</dl>

Concatenate: Concatenate stability objects

Description

Usage

Value

Arguments