The current version of this package estimates spatial autoregressive models for binary dependent variables using GMM estimators <doi:10.18637/jss.v107.i08>. It supports one-step (Pinkse and Slade, 1998) <doi:10.1016/S0304-4076(97)00097-3> and two-step GMM estimator along with the linearized GMM estimator proposed by Klier and McMillen (2008) <doi:10.1198/073500107000000188>. It also allows for either Probit or Logit model and compute the average marginal effects. All these models are presented in Sarrias and Piras (2023) <doi:10.1016/j.jocm.2023.100432>.
Version: | 0.1.3 |
Depends: | R (≥ 4.0) |
Imports: | Formula, Matrix, maxLik, stats, sphet, memisc, car, methods, numDeriv, MASS, spatialreg |
Suggests: | spdep |
Published: | 2023-10-11 |
DOI: | 10.32614/CRAN.package.spldv |
Author: | Mauricio Sarrias |
Maintainer: | Mauricio Sarrias <msarrias86 at gmail.com> |
BugReports: | https://github.com/gpiras/spldv/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/gpiras/spldv |
NeedsCompilation: | no |
Citation: | spldv citation info |
Materials: | NEWS |
CRAN checks: | spldv results |
Reference manual: | spldv.pdf |
Package source: | spldv_0.1.3.tar.gz |
Windows binaries: | r-devel: spldv_0.1.3.zip, r-release: spldv_0.1.3.zip, r-oldrel: spldv_0.1.3.zip |
macOS binaries: | r-devel (arm64): spldv_0.1.3.tgz, r-release (arm64): spldv_0.1.3.tgz, r-oldrel (arm64): spldv_0.1.3.tgz, r-devel (x86_64): spldv_0.1.3.tgz, r-release (x86_64): spldv_0.1.3.tgz, r-oldrel (x86_64): spldv_0.1.3.tgz |
Old sources: | spldv archive |
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