dmvhyper_base

Log PMF of multivariate hypergeometric

internal

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

dmvhyper_base function

<dl><dt>x</dt>
<dd>integer vector of counts drawn in each category</dd>
<dt>n</dt>
<dd>integer vector of population sizes in each category</dd>
<dt>k</dt>
<dd>integer total draws (should equal sum(x))</dd>
<dt>log</dt>
<dd>logical; return log-probability?</dd></dl>

Arguments

Log PMF of multivariate hypergeometric — dmvhyper_base

<dl>

<dt>x</dt>
<dd>integer vector of counts drawn in each category</dd>


<dt>n</dt>
<dd>integer vector of population sizes in each category</dd>


<dt>k</dt>
<dd>integer total draws (should equal sum(x))</dd>


<dt>log</dt>
<dd>logical; return log-probability?</dd>

</dl>

dmvhyper_base: Log PMF of multivariate hypergeometric

Description

Usage

Arguments