getMultinomialStatistics

One updating step in simulating the mobility network model can be expressed
as a multinomial logit model. Extracting the statistics for such a model allows
a straight-forward estimation of a multinomial logit model to get initial
estimates for the full mobility model, which increases the chances of model
convergence in the first run of the estimation considerably.

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

getMultinomialStatistics function

<dl><dt>state</dt>
<dd>An object of class "processState.monan" that stores all information to be used in the model.</dd>
<dt>effects</dt>
<dd>An object of class "effectsList.monan" for which the statistics of a multinomial
model should be calculated.</dd>
<dt>cache</dt>
<dd>Outdated parameter, no need to specify.</dd></dl>

Arguments

getMultinomialStatistics — getMultinomialStatistics

<dl>

<dt>state</dt>
<dd>An object of class "processState.monan" that stores all information to be used in the model.</dd>


<dt>effects</dt>
<dd>An object of class "effectsList.monan" for which the statistics of a multinomial
model should be calculated.</dd>


<dt>cache</dt>
<dd>Outdated parameter, no need to specify.</dd>

</dl>

getMultinomialStatistics: getMultinomialStatistics

Description

Usage

Value

Arguments

See Also

Examples