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>).
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
coda, Matrix, methods, RSpectra, Rdpack, utils |
| Suggests: |
covr, knitr, sf, sp, spdep, tinytest, rmarkdown |
| Published: |
2021-09-09 |
| Author: |
Lukas Dargel 
[aut, cre],
Thibault Laurent
[aut],
Christine Thomas [ths, ctb],
Paula Margaretic [ctb],
Gabriel Watkinson [ctb],
Roger Bivand [ctb] |
| Maintainer: |
Lukas Dargel <lukas.dargel at mailbox.org> |
| BugReports: |
https://github.com/LukeCe/spflow/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/LukeCe/spflow |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
spflow results |