mcmc_results

A <code><a rd-options="=spflow_model_mcmc-class" href="/link/spflow_model_mcmc-class()?package=spflow&version=0.1.0&to=%3Dspflow_model_mcmc-class" data-mini-rdoc="=spflow_model_mcmc-class::spflow_model_mcmc-class()">spflow_model_mcmc-class()</a></code>

object

For details see the documentation of the corresponding class.

Efficient estimation of spatial econometric models of origin-destination flows, which may exhibit spatial autocorrelation in the dependent variable, the explanatory variables or both.
The model is the one proposed by LeSage and Pace (2008) <doi:10.1111/j.1467-9787.2008.00573.x>, who develop a matrix formulation that exploits the relational structure of flow data.
The estimation procedures follow most closely those outlined by Dargel (2021) (preprint available at <https://www.tse-fr.eu/fr/publications/revisiting-estimation-methods-spatial-econometric-interaction-models>).

Lukas Dargel

spflow

Spatial Econometric Interaction Models

Thibault Laurent

Christine Thomas

Paula Margaretic

Gabriel Watkinson

Roger Bivand

mcmc_results function

A <code><a rd-options='=spflow_model_mcmc-class' href='spflow_model_mcmc-class()'>spflow_model_mcmc-class()</a></code>

Access the sampling results of a <code><a rd-options='=spflow_model_mcmc-class' href='spflow_model_mcmc-class()'>spflow_model_mcmc-class()</a></code> — mcmc_results

Access the sampling results of a <code><a rd-options='=spflow_model_mcmc-class' href='spflow_model_mcmc-class()'>spflow_model_mcmc-class()</a></code>

Access the sampling results of a <code><a rd-options="=spflow_model_mcmc-class" href="/link/spflow_model_mcmc-class()?package=spflow&version=0.1.0&to=%3Dspflow_model_mcmc-class" data-mini-rdoc="=spflow_model_mcmc-class::spflow_model_mcmc-class()">spflow_model_mcmc-class()</a></code>

mcmc_results: Access the sampling results of a `spflow_model_mcmc-class()`

Description

Usage

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See Also