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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 ORCID iD [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:

Please use the canonical form https://CRAN.R-project.org/package=ProbitSpatial to link to this page.

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.