{
  "_id": "6a101a8dacfb0bcc41c869e9",
  "Package": "landpred",
  "Type": "Package",
  "Title": "Landmark Prediction of a Survival Outcome",
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  "Authors@R": "c(person(\"Dylan\", \"Huynh\", email = \"dylanhuynh@utexas.edu\", role = c(\"aut\")), person(\"Layla\", \"Parast\", email = \"parast@austin.utexas.edu\", role = c(\"aut\", \"cre\")))",
  "Description": "Nonparametric methods for landmark prediction of long-term\nsurvival outcomes, incorporating covariate and short-term event\ninformation. The package supports the construction of flexible\nvarying-coefficient models that use discrete covariates, as\nwell as multiple continuous covariates. The goal is to improve\nprediction accuracy when censored short-term events are\navailable as predictors, using robust nonparametric procedures\nthat do not require correct model specification and avoid\nrestrictive parametric assumptions found in alternative\nmethods. More information on these methods can be found in\nParast et al. 2012 <doi:10.1080/01621459.2012.721281>, Parast\net al. 2011 <doi:10.1002/bimj.201000150>, and Parast and Cai\n2013 <doi:10.1002/sim.5776>. A tutorial for this package is\navailable here: <https://www.laylaparast.com/landpred>.",
  "License": "GPL",
  "NeedsCompilation": "no",
  "Repository": "https://laylaparast.r-universe.dev",
  "Date/Publication": "2026-01-29 01:02:57 UTC",
  "RemoteUrl": "https://github.com/laylaparast/landpred",
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    "User": "root"
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  "Author": "Dylan Huynh [aut],\nLayla Parast [aut, cre]",
  "Maintainer": "Layla Parast <parast@austin.utexas.edu>",
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    "landpred",
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    "VTM",
    "Wi.FUN"
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      "title": "Hypothetical data to be used in examples.",
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      "file": "data_example_landpred.RData",
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    {
      "page": "AUC.landmark",
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      "topics": [
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      ]
    },
    {
      "page": "BS.landmark",
      "title": "Estimates the Brier score.",
      "topics": [
        "BS.landmark"
      ]
    },
    {
      "page": "coef.landpred_model_continuous",
      "title": "Extract Coefficients from Landpred Continuous Model",
      "topics": [
        "coef.landpred_model_continuous"
      ]
    },
    {
      "page": "cumsum2",
      "title": "Helper function",
      "topics": [
        "cumsum2"
      ]
    },
    {
      "page": "data_example_landpred",
      "title": "Hypothetical data to be used in examples.",
      "topics": [
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      ]
    },
    {
      "page": "get_model",
      "title": "Get Landpred Model",
      "topics": [
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      ]
    },
    {
      "page": "Ghat.FUN",
      "title": "Estimate Survival Function",
      "topics": [
        "Ghat.FUN"
      ]
    },
    {
      "page": "helper.si",
      "title": "Helper function for AUC.landmark",
      "topics": [
        "helper.si"
      ]
    },
    {
      "page": "Kern.FUN",
      "title": "Calculates kernel matrix",
      "topics": [
        "Kern.FUN"
      ]
    },
    {
      "page": "landpred",
      "title": "Create a Landpred Object",
      "topics": [
        "landpred"
      ]
    },
    {
      "page": "optimize_bandwidth",
      "title": "Optimize Bandwidth for Continuous Landpred Models",
      "topics": [
        "optimize_bandwidth"
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    },
    {
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      "title": "Predict Method for Landpred Continuous Model",
      "topics": [
        "predict.landpred_model_continuous"
      ]
    },
    {
      "page": "predict.landpred_model_discrete",
      "title": "Predict Method for Discrete Landpred Model",
      "topics": [
        "predict.landpred_model_discrete"
      ]
    },
    {
      "page": "print.landpred_model_continuous",
      "title": "Print Method for Landpred Continuous Model",
      "topics": [
        "print.landpred_model_continuous"
      ]
    },
    {
      "page": "print.landpred_model_discrete",
      "title": "Print Method for Discrete Landpred Model",
      "topics": [
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      ]
    },
    {
      "page": "print.landpred_object",
      "title": "Print Method for Landpred Object",
      "topics": [
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      ]
    },
    {
      "page": "Prob.Covariate",
      "title": "Calculate Probability with Covariate Information",
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      ]
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    {
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      "topics": [
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    },
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