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  "Package": "spatialprobit",
  "Version": "1.0.4",
  "Date": "2024-02-07",
  "Title": "Spatial Probit Models",
  "Authors@R": "c(\nperson(\"Stefan\", \"Wilhelm\", email = \"wilhelm@financial.com\", role = c(\"aut\", \"cre\")),\nperson(\"Miguel\", \"Godinho de Matos\", email = \"miguelgodinhomatos@cmu.edu\", role = \"aut\")\n)",
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  "Description": "A collection of methods for the Bayesian estimation of\nSpatial Probit, Spatial Ordered Probit and Spatial Tobit\nModels. Original implementations from the works of 'LeSage and\nPace' (2009, ISBN: 1420064258) were ported and adjusted for R,\nas described in 'Wilhelm and de Matos' (2013)\n<doi:10.32614/RJ-2013-013>.",
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  "URL": "https://www.r-project.org",
  "NeedsCompilation": "no",
  "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev",
  "Repository": "https://stefanwilhelm.r-universe.dev",
  "Date/Publication": "2024-02-08 17:39:18 UTC",
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  "Maintainer": "Stefan Wilhelm <wilhelm@financial.com>",
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    "author": "Stefan Wilhelm <wilhelm@financial.com>",
    "committer": "Stefan Wilhelm <wilhelm@financial.com>",
    "message": "* Replaced all \\dontrun in *.Rd files, except for Katrina.Rd which requires a Google API Key\n* Fixed some examples in *.Rd files\n* Instead of print()/cat() rather used message()/warning() in R/SpatialProbit-MCMC.R\n",
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  "_realowner": "stefanwilhelm",
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    "coef.sartobit",
    "coef.semprobit",
    "coefficients.sarprobit",
    "coefficients.sartobit",
    "coefficients.semprobit",
    "fitted.sarorderedprobit",
    "fitted.sarprobit",
    "fitted.sartobit",
    "fitted.semprobit",
    "impacts.sarprobit",
    "impacts.sartobit",
    "kNearestNeighbors",
    "LeSagePaceExperiment",
    "lndetChebyshev",
    "lndetfull",
    "logLik.sarprobit",
    "logLik.semprobit",
    "marginal.effects",
    "marginal.effects.sarprobit",
    "marginal.effects.sartobit",
    "plot.sarprobit",
    "plot.sartobit",
    "plot.semprobit",
    "sar_eigs",
    "sar_lndet",
    "sar_ordered_probit_mcmc",
    "sar_probit_mcmc",
    "sar_tobit_mcmc",
    "sarorderedprobit",
    "sarprobit",
    "sartobit",
    "sem_probit_mcmc",
    "semprobit",
    "summary.sarorderedprobit",
    "summary.sarprobit",
    "summary.sartobit",
    "summary.semprobit"
  ],
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      "file": "CKM.RData",
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      ],
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    },
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      ],
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      "tojson": false
    },
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      "tojson": false
    },
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      "object": "CKM",
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      "class": [
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      ],
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        "adoption.date",
        "med_sch_yr",
        "meetings",
        "jours",
        "free_time",
        "discuss",
        "clubs",
        "friends",
        "community",
        "patients",
        "proximity",
        "specialty"
      ],
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      "table": true,
      "tojson": true
    },
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      "title": "New Orleans business recovery in the aftermath of Hurricane Katrina",
      "object": "Katrina",
      "file": "Katrina.RData",
      "class": [
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      ],
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        "long",
        "lat",
        "flood_depth",
        "log_medinc",
        "small_size",
        "large_size",
        "low_status_customers",
        "high_status_customers",
        "owntype_sole_proprietor",
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        "y3"
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      "table": true,
      "tojson": true
    },
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      "title": "New Orleans business recovery in the aftermath of Hurricane Katrina",
      "object": "Katrina",
      "file": "Katrina.RData",
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      ],
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        "long",
        "lat",
        "street1",
        "medinc",
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        "flood",
        "owntype",
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        "sizeemp",
        "openstatus1",
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        "days",
        "street"
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      "table": true,
      "tojson": true
    },
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      "file": "CKM.RData",
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    },
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    },
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      "object": "CKM",
      "file": "CKM.RData",
      "class": [
        "dgCMatrix"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
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    {
      "page": "c.sarprobit",
      "title": "Combine different SAR probit estimates into one",
      "topics": [
        "c.sarprobit"
      ]
    },
    {
      "page": "CKM",
      "title": "Coleman, Katz, Menzel \"Innovation among Physicians\" dataset",
      "topics": [
        "A1",
        "A2",
        "A3",
        "CKM",
        "W1",
        "W2",
        "W3"
      ]
    },
    {
      "page": "coef.sarprobit",
      "title": "Extract Model Coefficients",
      "topics": [
        "coef.sarprobit",
        "coef.sartobit",
        "coef.semprobit",
        "coefficients.sarprobit",
        "coefficients.sartobit",
        "coefficients.semprobit"
      ]
    },
    {
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      "title": "Fitted values of spatial probit/Tobit models",
      "topics": [
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        "fitted.sarprobit",
        "fitted.sartobit",
        "fitted.semprobit"
      ]
    },
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      "topics": [
        "Katrina",
        "Katrina.raw"
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    },
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    },
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      "title": "Replicate the LeSage and Pace (2009), section 10.1.5 experiment",
      "topics": [
        "LeSagePaceExperiment"
      ]
    },
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      "page": "logLik",
      "title": "Log Likelihood for spatial probit models (SAR probit, SEM probit)",
      "topics": [
        "logLik.sarprobit",
        "logLik.semprobit"
      ]
    },
    {
      "page": "marginal.effects.sarprobit",
      "title": "Marginal effects for spatial probit and Tobit models (SAR probit, SAR Tobit)",
      "topics": [
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        "impacts.sartobit",
        "marginal.effects",
        "marginal.effects.sarprobit",
        "marginal.effects.sartobit"
      ]
    },
    {
      "page": "plot.sarprobit",
      "title": "Plot Diagnostics for 'sarprobit', 'semprobit' or 'sartobit' objects",
      "topics": [
        "plot.sarprobit",
        "plot.sartobit",
        "plot.semprobit"
      ]
    },
    {
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      "title": "compute the eigenvalues for the spatial weight matrix W",
      "topics": [
        "sar_eigs"
      ]
    },
    {
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      "title": "Approximation of the log determinant ln|I_n - rho*W| of a spatial weight matrix",
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        "lndetChebyshev",
        "lndetfull",
        "sar_lndet"
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    {
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      "title": "Bayesian estimation of the SAR ordered probit model",
      "topics": [
        "sarorderedprobit",
        "sar_ordered_probit_mcmc"
      ]
    },
    {
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      "title": "Bayesian estimation of the SAR probit model",
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        "sarprobit",
        "sar_probit_mcmc"
      ]
    },
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      "topics": [
        "sartobit",
        "sar_tobit_mcmc"
      ]
    },
    {
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      "title": "Bayesian estimation of the SEM probit model",
      "topics": [
        "semprobit",
        "sem_probit_mcmc"
      ]
    },
    {
      "page": "summary",
      "title": "Print the results of the spatial probit/Tobit estimation via MCMC",
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        "summary.sarorderedprobit",
        "summary.sarprobit",
        "summary.sartobit",
        "summary.semprobit"
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