diffnet_check_attr_class

Intended for internal use only, this function is used in <code>diffnet_index</code>
methods.

Empirical statistical analysis, visualization and simulation of
diffusion and contagion processes on networks. The package implements algorithms
for calculating network diffusion statistics such as transmission rate, hazard
rates, exposure models, network threshold levels, infectiousness (contagion),
and susceptibility. The package is inspired by work published in Valente,
et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN:
9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011)
<DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.

George Vega Yon

netdiffuseR

Analysis of Diffusion and Contagion Processes on Networks

Thomas Valente

Stephanie Dyal

Timothy Hayes

diffnet_check_attr_class function

<dl><dt>value</dt>
<dd>Either a matrix, data frame or a list. Attribute values.</dd>
<dt>meta</dt>
<dd>A list. A diffnet object's meta data.</dd></dl>

Arguments

Infer whether value is dynamic or static. — diffnet_check_attr_class

<dl>

<dt>value</dt>
<dd>Either a matrix, data frame or a list. Attribute values.</dd>


<dt>meta</dt>
<dd>A list. A diffnet object's meta data.</dd>

</dl>

diffnet_check_attr_class: Infer whether `value` is dynamic or static.

Description

Usage

Value

Arguments