Feedstock license: BSD-3-Clause
Home: https://r-spatial.github.io/spatialreg/
Package license: GPL-2.0-only
Summary: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep', 'sphet' and 'spse'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) doi:10.1080/01621459.1975.10480272. The models are further described by 'Anselin' (1988) doi:10.1007/978-94-015-7799-1. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) doi:10.1023/A:1007707430416 and (1999) doi:10.1111/1468-2354.00027 are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) doi:10.1201/9781420064254 are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) doi:10.1111/gean.12008, and model fitting methods by 'Bivand' and 'Piras' (2015) doi:10.18637/jss.v063.i18; both of these articles include extensive lists of references. 'spatialreg' >= 1.1-* correspond to 'spdep' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-*, the functions will be made defunct in 'spdep'.
Development: https://github.com/r-spatial/spatialreg/
Home: https://r-spatial.github.io/spatialreg/
Package license: GPL-2.0-only
Summary: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep', 'sphet' and 'spse'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) doi:10.1080/01621459.1975.10480272. The models are further described by 'Anselin' (1988) doi:10.1007/978-94-015-7799-1. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) doi:10.1023/A:1007707430416 and (1999) doi:10.1111/1468-2354.00027 are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) doi:10.1201/9781420064254 are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) doi:10.1111/gean.12008, and model fitting methods by 'Bivand' and 'Piras' (2015) doi:10.18637/jss.v063.i18; both of these articles include extensive lists of references. 'spatialreg' >= 1.1-* correspond to 'spdep' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-*, the functions will be made defunct in 'spdep'.
Development: https://github.com/r-spatial/spatialreg/
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Installing r-spatialreg from the conda-forge channel can be achieved by adding conda-forge to your channels with:
conda config --add channels conda-forge
conda config --set channel_priority strict
Once the conda-forge channel has been enabled, r-spatialreg can be installed with conda:
conda install r-spatialreg
or with mamba:
mamba install r-spatialreg
It is possible to list all of the versions of r-spatialreg available on your platform with conda:
conda search r-spatialreg --channel conda-forge
or with mamba:
mamba search r-spatialreg --channel conda-forge
Alternatively, mamba repoquery may provide more information:
# Search all versions available on your platform:
mamba repoquery search r-spatialreg --channel conda-forge
# List packages depending on `r-spatialreg`:
mamba repoquery whoneeds r-spatialreg --channel conda-forge
# List dependencies of `r-spatialreg`:
mamba repoquery depends r-spatialreg --channel conda-forge
conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.
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To manage the continuous integration and simplify feedstock maintenance,
conda-smithy has been developed.
Using the conda-forge.yml within this repository, it is possible to re-render all of
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For more information, please check the conda-forge documentation.
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If you would like to improve the r-spatialreg recipe or build a new
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In order to produce a uniquely identifiable distribution:
- If the version of a package is not being increased, please add or increase
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build/numberback to 0.