AdjacencyFromObject

Returns the adjacency matrix from an
<code><a href="/link/igraph?package=sharp&version=1.4.6" data-mini-rdoc="sharp::igraph">igraph</a></code> object or from the output of
simulation or inference functions from the present package.

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, 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

AdjacencyFromObject function

<dl><dt>object</dt>
<dd>input object.</dd></dl>

Arguments

Returns the adjacency matrix from an
<code><a href='https://rdrr.io/pkg/igraph/man/aaa-igraph-package.html'>igraph</a></code> object or from the output of
simulation or inference functions from the present package.

Adjacency matrix from object — AdjacencyFromObject

<dl>

<dt>object</dt>
<dd>input object.</dd>

</dl>

AdjacencyFromObject: Adjacency matrix from object

Description

Usage

Value

Arguments