regularm

regularm is wrapper for ghype that allows to specify a gnm regular model.
i.e. where all entries of the combinatorial matrix Xi are the same.

Provides functions for model fitting and selection of generalised hypergeometric ensembles of random graphs (gHypEG).
To learn how to use it, check the vignettes for a quick tutorial.
Please reference its use as Casiraghi, G., Nanumyan, V. (2019) <doi:10.5281/zenodo.2555300>
together with those relevant references from the one listed below.
The package is based on the research developed at the Chair of Systems Design, ETH Zurich.
Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2016) <doi:10.48550/arXiv.1607.02441>.
Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2017) <doi:10.1007/978-3-319-67256-4_11>.
Casiraghi, G., (2017) <doi:10.48550/arXiv.1702.02048>.
Brandenberger, L., Casiraghi, G., Nanumyan, V., Schweitzer, F. (2019) <doi:10.1145/3341161.3342926>.
Casiraghi, G. (2019) <doi:10.1007/s41109-019-0241-1>.
Casiraghi, G., Nanumyan, V. (2021) <doi:10.1038/s41598-021-92519-y>.
Casiraghi, G. (2021) <doi:10.1088/2632-072X/ac0493>.

Giona Casiraghi

ghypernet

Fit and Simulate Generalised Hypergeometric Ensembles of Graphs

Vahan Nanumyan

Laurence Brandenberger

Giacomo Vaccario

regularm function

<dl><dt>graph</dt>
<dd>either an adjacency matrix or an igraph graph</dd>
<dt>directed</dt>
<dd>optional boolean, if not specified detected from graph</dd>
<dt>selfloops</dt>
<dd>optional boolean, if not specified detected from graph</dd>
<dt>...</dt>
<dd>additional parameters passed to the ghype function</dd></dl>

Arguments

Fit the gnm model — regularm

<dl>

<dt>graph</dt>
<dd>either an adjacency matrix or an igraph graph</dd>


<dt>directed</dt>
<dd>optional boolean, if not specified detected from graph</dd>


<dt>selfloops</dt>
<dd>optional boolean, if not specified detected from graph</dd>


<dt>...</dt>
<dd>additional parameters passed to the ghype function</dd>

</dl>

regularm: Fit the gnm model

Description

Usage

Value

Arguments

Examples