ProbitSpatial: Probit with Spatial Dependence, SAR, SEM and SARAR Models
Fast estimation of binomial spatial probit regression models with spatial autocorrelation for big datasets.
| Version: | 1.1 |
| Depends: | Matrix |
| Imports: | numDeriv, RANN, Rcpp (≥ 1.0.4.6), methods |
| LinkingTo: | Rcpp, RcppEigen |
| Published: | 2021-06-30 |
| DOI: | 10.32614/CRAN.package.ProbitSpatial |
| Author: | Davide Martinetti 
[aut, cre],
Ghislain Geniaux [aut] |
| Maintainer: | Davide Martinetti <davide.martinetti at inrae.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | Spatial |
| CRAN checks: | ProbitSpatial results |
Documentation:
| Reference manual: | ProbitSpatial.pdf |
Downloads:
| Package source: | ProbitSpatial_1.1.tar.gz |
| Windows binaries: | r-devel: ProbitSpatial_1.1.zip, r-release: ProbitSpatial_1.1.zip, r-oldrel: ProbitSpatial_1.1.zip |
| macOS binaries: | r-release (arm64): ProbitSpatial_1.1.tgz, r-oldrel (arm64): ProbitSpatial_1.1.tgz, r-release (x86_64): ProbitSpatial_1.1.tgz, r-oldrel (x86_64): ProbitSpatial_1.1.tgz |
| Old sources: | ProbitSpatial archive |
Linking:
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