Package: spldv
Type: Package
Title: Spatial Models for Limited Dependent Variables
Version: 0.1.0
Date: 2022-3-17
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. 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. 
Encoding: UTF-8
RoxygenNote: 7.1.2
Depends: R (>= 4.0)
Imports: Formula, Matrix, maxLik, stats, sphet, memisc, car, methods,
        numDeriv, MASS
Suggests: spdep
License: GPL (>= 2)
LazyData: no
NeedsCompilation: no
Packaged: 2022-03-21 19:22:12 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: 2022-03-22 17:40:02 UTC
