{
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  "Package": "spldv",
  "Type": "Package",
  "Title": "Spatial Models for Limited Dependent Variables",
  "Version": "0.2.2",
  "Date": "2026-01-12",
  "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\nautoregressive models for binary dependent variables using GMM\nestimators <doi:10.18637/jss.v107.i08> and RIS estimator\n<doi:10.1007/978-3-662-05617-2_8>. It supports one-step (Pinkse\nand Slade, 1998) <doi:10.1016/S0304-4076(97)00097-3> and\ntwo-step GMM estimator along with the linearized GMM estimator\nproposed by Klier and McMillen (2008)\n<doi:10.1198/073500107000000188>. It also allows for either\nProbit or Logit model and compute the average marginal effects.\nThe RIS estimator allows to estimate the SAR and SEM model. All\nthese models are presented in Sarrias and Piras (2023)\n<doi:10.1016/j.jocm.2023.100432>.",
  "Encoding": "UTF-8",
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  "License": "GPL (>= 2)",
  "URL": "https://github.com/gpiras/spldv",
  "BugReports": "https://github.com/gpiras/spldv/issues",
  "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nmake libicu-dev libssl-dev libproj-dev libsqlite3-dev\nlibudunits2-dev",
  "Repository": "https://gpiras.r-universe.dev",
  "Date/Publication": "2026-01-12 15:17:58 UTC",
  "RemoteUrl": "https://github.com/gpiras/spldv",
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  "Author": "Mauricio Sarrias [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-5932-4817>),\nGianfranco Piras [aut] (ORCID: <https://orcid.org/0000-0003-0225-6061>),\nDaniel McMillen [ctb]",
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    "message": "Merge pull request #20 from mauricio1986/master\n\nFixing bug in S matrix",
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    "description": "I am an Associate Professor of Economics at the University of Chieti-Pescara. My research focus on applied spatial econometrics and software development.  "
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