JnBlock

Fisher Information matrix for estimators in block models.

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

JnBlock function

<dl><dt>omegaBlocks</dt>
<dd>the block parameters (vector)</dd>
<dt>xiBlocks</dt>
<dd>the xi-block (vector)</dd>
<dt>mBlocks</dt>
<dd>the adj-block (vector)</dd>
<dt>m</dt>
<dd>the number of edges (scalar)</dd></dl>

Arguments

Fisher Information matrix for estimators in block models. — JnBlock

<dl>

<dt>omegaBlocks</dt>
<dd>the block parameters (vector)</dd>


<dt>xiBlocks</dt>
<dd>the xi-block (vector)</dd>


<dt>mBlocks</dt>
<dd>the adj-block (vector)</dd>


<dt>m</dt>
<dd>the number of edges (scalar)</dd>

</dl>

JnBlock: Fisher Information matrix for estimators in block models.

Description

Usage

Value

Arguments