{
  "_id": "6a0f6d92acfb0bcc41c5ec28",
  "Package": "spBayesSurv",
  "Type": "Package",
  "Title": "Bayesian Modeling and Analysis of Spatially Correlated Survival\nData",
  "Version": "1.1.9",
  "Date": "2025-07-23",
  "Authors@R": "c(person(\"Haiming\", \"Zhou\", role = c(\"aut\", \"cre\",\"cph\"),\nemail = \"haiming2019@gmail.com\"),\nperson(\"Timothy\", \"Hanson\", role = \"aut\") )",
  "Description": "Provides several Bayesian survival models for\nspatial/non-spatial survival data: proportional hazards (PH),\naccelerated failure time (AFT), proportional odds (PO), and\naccelerated hazards (AH), a super model that includes PH, AFT,\nPO and AH as special cases, Bayesian nonparametric\nnonproportional hazards (LDDPM), generalized accelerated\nfailure time (GAFT), and spatially smoothed Polya tree density\nestimation. The spatial dependence is modeled via frailties\nunder PH, AFT, PO, AH and GAFT, and via copulas under LDDPM and\nPH. Model choice is carried out via the logarithm of the pseudo\nmarginal likelihood (LPML), the deviance information criterion\n(DIC), and the Watanabe-Akaike information criterion (WAIC).\nSee Zhou, Hanson and Zhang (2020) <doi:10.18637/jss.v092.i09>.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "yes",
  "Author": "Haiming Zhou [aut, cre, cph], Timothy Hanson [aut]",
  "Maintainer": "Haiming Zhou <haiming2019@gmail.com>",
  "Packaged": {
    "Date": "2026-05-21 08:04:14 UTC",
    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-07-23 18:49:05 UTC",
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    "description": "Director, Biostatistics, Daiichi Sankyo, Inc. ",
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    "frailtyprior",
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    "makepredictcall.bspline",
    "plot.anovaDDP",
    "plot.frailtyGAFT",
    "plot.indeptCoxph",
    "plot.SpatDensReg",
    "plot.spCopulaCoxph",
    "plot.spCopulaDDP",
    "plot.SuperSurvRegBayes",
    "plot.survregbayes",
    "plot.survregbayes2",
    "predict.bspline",
    "print.frailtyGAFT",
    "print.indeptCoxph",
    "print.SpatDensReg",
    "print.spCopulaCoxph",
    "print.summary.frailtyGAFT",
    "print.summary.indeptCoxph",
    "print.summary.SpatDensReg",
    "print.summary.spCopulaCoxph",
    "print.summary.SuperSurvRegBayes",
    "print.summary.survregbayes",
    "print.summary.survregbayes2",
    "print.SuperSurvRegBayes",
    "print.survregbayes",
    "print.survregbayes2",
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    "summary.spCopulaCoxph",
    "summary.SuperSurvRegBayes",
    "summary.survregbayes",
    "summary.survregbayes2",
    "SuperSurvRegBayes",
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    "survregbayes2"
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      "title": "The Leukemia Survival Data",
      "object": "LeukSurv",
      "file": "LeukSurv.rda",
      "class": [
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        "cens",
        "xcoord",
        "ycoord",
        "age",
        "sex",
        "wbc",
        "tpi",
        "district"
      ],
      "rows": 1043,
      "table": true,
      "tojson": true
    }
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      "page": "anovaDDP",
      "title": "Bayesian Nonparametric Survival Model",
      "topics": [
        "anovaDDP"
      ]
    },
    {
      "page": "baseline",
      "title": "Stratification effects on baseline functions",
      "topics": [
        "baseline"
      ]
    },
    {
      "page": "bspline",
      "title": "Generate a Cubic B-Spline Basis Matrix",
      "topics": [
        "bspline",
        "makepredictcall.bspline"
      ]
    },
    {
      "page": "cox.snell.survregbayes",
      "title": "Cox-Snell Diagnostic Plot",
      "topics": [
        "cox.snell.survregbayes"
      ]
    },
    {
      "page": "frailtyGAFT",
      "title": "Generalized Accelerated Failure Time Frailty Model",
      "topics": [
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        "print.frailtyGAFT",
        "print.summary.frailtyGAFT",
        "summary.frailtyGAFT"
      ]
    },
    {
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      "title": "Frailty prior specification",
      "topics": [
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      ]
    },
    {
      "page": "GetCurves",
      "title": "Density, Survival, and Hazard Estimates",
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        "plot.frailtyGAFT",
        "plot.indeptCoxph",
        "plot.SpatDensReg",
        "plot.spCopulaCoxph",
        "plot.spCopulaDDP",
        "plot.SuperSurvRegBayes",
        "plot.survregbayes"
      ]
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      "title": "Bayesian Proportional Hazards Model",
      "topics": [
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        "print.indeptCoxph",
        "print.summary.indeptCoxph",
        "summary.indeptCoxph"
      ]
    },
    {
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      "title": "The Leukemia Survival Data",
      "topics": [
        "LeukSurv"
      ]
    },
    {
      "page": "predict.bspline",
      "title": "Evaluate a Cubic Spline Basis",
      "topics": [
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    },
    {
      "page": "SpatDensReg",
      "title": "Bayesian Nonparametric Spatially Smoothed Density Estimation",
      "topics": [
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        "print.SpatDensReg",
        "print.summary.SpatDensReg",
        "SpatDensReg",
        "summary.SpatDensReg"
      ]
    },
    {
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      "title": "Marginal Bayesian Proportional Hazards Model via Spatial Copula",
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        "print.summary.spCopulaCoxph",
        "spCopulaCoxph",
        "summary.spCopulaCoxph"
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      "title": "Marginal Bayesian Nonparametric Survival Model via Spatial Copula",
      "topics": [
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      "title": "Bayesian Semiparametric Super Survival Model",
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        "print.SuperSurvRegBayes",
        "summary.SuperSurvRegBayes",
        "SuperSurvRegBayes"
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      "title": "Bayesian Semiparametric Survival Models",
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        "print.survregbayes",
        "summary.survregbayes",
        "survregbayes"
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      "title": "Bayesian Semiparametric Survival Models",
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        "print.survregbayes2",
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