autoCorrelationTest

The autoCorrelationTest indicates the degree to which the values of the dependent
variable of consecutive draws from the chain in phase 3 are correlated. Here lower
values are better. Values above 0.5 are very problematic and indicate that a
higher thinning is needed.

Implements the method to analyse weighted mobility networks or distribution networks as outlined in:
Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>.
The purpose of the model is to analyse the structure of mobility,
incorporating exogenous predictors pertaining to individuals and locations
known from classical mobility analyses, as well as modelling emergent mobility
patterns akin to structural patterns known from the statistical analysis of social networks.

Per Block

MoNAn

Mobility Network Analysis

Christoph Stadtfeld

Nico Keiser

Marion Hoffman

autoCorrelationTest function

<dl><dt>ans</dt>
<dd>An object of class "result.monan" resulting from an estimation with the function <code>estimateMobilityNetwork()</code>.</dd></dl>

Arguments

autoCorrelationTest — autoCorrelationTest

<dl>

<dt>ans</dt>
<dd>An object of class "result.monan" resulting from an estimation with the function <code>estimateMobilityNetwork()</code>.</dd>

</dl>

autoCorrelationTest: autoCorrelationTest

Description

Usage

Value

Arguments

Examples