create_predictors

createPredictors

Create a nrmpredictor object from passed argument

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

create_predictors function

<dl><dt>predictors</dt>
<dd>the dataframe or list of predictors for to apply nrm model selection</dd>
<dt>...</dt>
<dd>additional parameters passed to the different methods (currently disabled)</dd></dl>

Arguments

Create a nrmpredictor object from passed argument — create_predictors

<dl>

<dt>predictors</dt>
<dd>the dataframe or list of predictors for to apply nrm model selection</dd>


<dt>...</dt>
<dd>additional parameters passed to the different methods (currently disabled)</dd>

</dl>

create_predictors: Create a nrmpredictor object from passed argument

Description

Usage

Value

Arguments

Examples