Package: spldv
Type: Package
Title: Spatial Models for Limited Dependent Variables
Version: 0.1.3
Date: 2023-10-11
Authors@R: c(person("Mauricio", "Sarrias", role = c("aut", "cre"), email = "msarrias86@gmail.com", comment = c(ORCID = "0000-0001-5932-4817")), person("Gianfranco", "Piras", role = c("aut"), email = "gpiras@mac.com", comment = c(ORCID = "0000-0003-0225-6061")), person("Daniel", "McMillen", role = "ctb"))
Description: 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>. 
Encoding: UTF-8
RoxygenNote: 7.2.3
Depends: R (>= 4.0)
Imports: Formula, Matrix, maxLik, stats, sphet, memisc, car, methods,
        numDeriv, MASS, spatialreg
Suggests: spdep
License: GPL (>= 2)
URL: https://github.com/gpiras/spldv
BugReports: https://github.com/gpiras/spldv/issues
NeedsCompilation: no
Packaged: 2023-10-11 12:44:07 UTC; mauriciosarrias
Author: Mauricio Sarrias [aut, cre] (<https://orcid.org/0000-0001-5932-4817>),
  Gianfranco Piras [aut] (<https://orcid.org/0000-0003-0225-6061>),
  Daniel McMillen [ctb]
Maintainer: Mauricio Sarrias <msarrias86@gmail.com>
Repository: CRAN
Date/Publication: 2023-10-11 13:30:02 UTC
Built: R 4.6.0; ; 2026-05-01 00:35:32 UTC; unix
