spflow-package: Spatial econometric interaction models in R
In LukeCe/spflow: Spatial Econometric Interaction Models
spflow-package R Documentation
Spatial econometric interaction models in R
Description
The spflow package provides function to estimate models of
origin-destination flows with spatial autocorrelation.
The implementation exploits the efficiency gains of the matrix formulation
that avoids duplication of the data that describes the origins and
the destinations.
It offers new data structures and a convenient formula interface
that allows to estimate the models with maximal efficiency and minimal
effort for the user.
The estimators are detailed in \insertCiteDargel2021;textualspflow.
Network data
The package provides a new class for representing network data.
These classes help to exploit the relational
structure of the data and ensure that all origins and destinations are
correctly identified.
Model estimation
The spflow() function is the main function for estimation and can be used
out of the box using the default configuration, which corresponds to the
most general model possible.
Fine grained control over the estimation procedure is given via the
spflow_control() argument through which the user can change, for example,
the estimation method or the way in which the covariates should be used.
Author(s)
Maintainer: Lukas Dargel lukas.dargel@mailbox.org (ORCID)
Authors:
Thibault Laurent thibault.laurent@tse-fr.eu (ORCID)
Other contributors:
Christine Thomas christine.thomas@tse-fr.eu [thesis advisor, contributor]
Paula Margaretic [contributor]
Gabriel Watkinson [contributor]
Roger Bivand [contributor]
References
\insertAllCited
See Also
Useful links:
LukeCe/spflow documentation built on Nov. 11, 2023, 8:20 p.m.
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| spflow-package | R Documentation |
Spatial econometric interaction models in R
Description
The spflow package provides function to estimate models of
origin-destination flows with spatial autocorrelation.
The implementation exploits the efficiency gains of the matrix formulation
that avoids duplication of the data that describes the origins and
the destinations.
It offers new data structures and a convenient formula interface
that allows to estimate the models with maximal efficiency and minimal
effort for the user.
The estimators are detailed in \insertCiteDargel2021;textualspflow.
Network data
The package provides a new class for representing network data. These classes help to exploit the relational structure of the data and ensure that all origins and destinations are correctly identified.
Model estimation
The spflow() function is the main function for estimation and can be used
out of the box using the default configuration, which corresponds to the
most general model possible.
Fine grained control over the estimation procedure is given via the
spflow_control() argument through which the user can change, for example,
the estimation method or the way in which the covariates should be used.
Author(s)
Maintainer: Lukas Dargel lukas.dargel@mailbox.org (ORCID)
Authors:
Thibault Laurent thibault.laurent@tse-fr.eu (ORCID)
Other contributors:
Christine Thomas christine.thomas@tse-fr.eu [thesis advisor, contributor]
Paula Margaretic [contributor]
Gabriel Watkinson [contributor]
Roger Bivand [contributor]
References
\insertAllCitedSee Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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