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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 |
Reference manual: | ProbitSpatial.pdf |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.