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  "Date": "2026-03-24",
  "Title": "Parallelised Estimation of Prediction Error",
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    "aggregation.pmpec",
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    "complexity.cv.grpsurv",
    "complexity.cv.ncvsurv",
    "complexity.cv.penalized",
    "complexity.cvrisk.mboost",
    "complexity.cvSGL.cox",
    "complexity.fusedLASSO",
    "complexity.ipec.CoxBoost",
    "complexity.LASSO",
    "complexity.mincv.CoxBoost",
    "complexity.oob.rfsrc",
    "complexity.ripec.CoxBoost",
    "extract.fun",
    "fit.CoxBoost",
    "fit.coxph",
    "fit.fusedLASSO",
    "fit.glmnet",
    "fit.grpsurv",
    "fit.LASSO",
    "fit.mboost.coxph",
    "fit.ncvsurv",
    "fit.penalized",
    "fit.rfsrc",
    "fit.SGL.cox",
    "ipec",
    "peperr",
    "perr",
    "PLL",
    "PLL.CoxBoost",
    "PLL.coxnet",
    "PLL.coxph",
    "PLL.grpsurv",
    "PLL.mboost_coxph",
    "PLL.ncvsurv",
    "PLL.penfit",
    "PLL.SGL_cox",
    "pmpec",
    "predictProb",
    "predictProb.CoxBoost",
    "predictProb.coxnet",
    "predictProb.coxph",
    "predictProb.grpsurv",
    "predictProb.mboost_coxph",
    "predictProb.ncvsurv",
    "predictProb.penfit",
    "predictProb.rfsrc",
    "predictProb.SGL_cox",
    "predictProb.survfit",
    "resample.indices"
  ],
  "_help": [
    {
      "page": "aggregation.brier",
      "title": "Determine the Brier score for a fitted model",
      "topics": [
        "aggregation.brier"
      ]
    },
    {
      "page": "aggregation.misclass",
      "title": "Determine the missclassification rate for a fitted model",
      "topics": [
        "aggregation.misclass"
      ]
    },
    {
      "page": "aggregation.pmpec",
      "title": "Determine the prediction error curve for a fitted model",
      "topics": [
        "aggregation.pmpec"
      ]
    },
    {
      "page": "complexity.LASSO",
      "title": "Complexity selection helpers for penalized backends",
      "topics": [
        "complexity.cv.penalized",
        "complexity.fusedLASSO",
        "complexity.LASSO"
      ]
    },
    {
      "page": "complexity.ipec.CoxBoost",
      "title": "Interface function for CoxBoost complexity selection via integrated prediction error curves",
      "topics": [
        "complexity.ipec.CoxBoost",
        "complexity.ripec.CoxBoost"
      ]
    },
    {
      "page": "complexity.mincv.CoxBoost",
      "title": "Interface for CoxBoost selection of the optimal number of boosting steps via cross-validation",
      "topics": [
        "complexity.mincv.CoxBoost"
      ]
    },
    {
      "page": "extract.fun",
      "title": "Extract functions, libraries and global variables to be loaded onto a compute cluster",
      "topics": [
        "extract.fun"
      ]
    },
    {
      "page": "fit.CoxBoost",
      "title": "Interface function for fitting a CoxBoost model",
      "topics": [
        "fit.CoxBoost"
      ]
    },
    {
      "page": "fit.coxph",
      "title": "Interface function for fitting a Cox proportional hazards model",
      "topics": [
        "fit.coxph"
      ]
    },
    {
      "page": "glmnet-backend",
      "title": "glmnet Cox backend",
      "topics": [
        "complexity.cv.glmnet",
        "fit.glmnet",
        "PLL.coxnet",
        "predictProb.coxnet"
      ]
    },
    {
      "page": "grpreg-backend",
      "title": "grpreg grouped Cox backend",
      "topics": [
        "complexity.cv.grpsurv",
        "fit.grpsurv",
        "PLL.grpsurv",
        "predictProb.grpsurv"
      ]
    },
    {
      "page": "mboost-backend",
      "title": "mboost Cox backend",
      "topics": [
        "complexity.cvrisk.mboost",
        "fit.mboost.coxph",
        "PLL.mboost_coxph",
        "predictProb.mboost_coxph"
      ]
    },
    {
      "page": "ncvreg-backend",
      "title": "ncvreg survival backend",
      "topics": [
        "complexity.cv.ncvsurv",
        "fit.ncvsurv",
        "PLL.ncvsurv",
        "predictProb.ncvsurv"
      ]
    },
    {
      "page": "fit.LASSO",
      "title": "Penalized backend fitting wrappers",
      "topics": [
        "fit.fusedLASSO",
        "fit.LASSO",
        "fit.penalized"
      ]
    },
    {
      "page": "randomForestSRC-backend",
      "title": "randomForestSRC survival backend",
      "topics": [
        "complexity.oob.rfsrc",
        "fit.rfsrc",
        "predictProb.rfsrc"
      ]
    },
    {
      "page": "SGL-backend",
      "title": "Sparse-group-lasso Cox backend",
      "topics": [
        "complexity.cvSGL.cox",
        "fit.SGL.cox",
        "PLL.SGL_cox",
        "predictProb.SGL_cox"
      ]
    },
    {
      "page": "ipec",
      "title": "Integrated prediction error curve",
      "topics": [
        "ipec"
      ]
    },
    {
      "page": "peperr",
      "title": "Parallelised Estimation of Prediction Error",
      "topics": [
        "peperr"
      ]
    },
    {
      "page": "perr",
      "title": "Prediction error estimates",
      "topics": [
        "perr"
      ]
    },
    {
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      "topics": [
        "PLL"
      ]
    },
    {
      "page": "PLL.CoxBoost",
      "title": "Predictive partial log-likelihood for a CoxBoost model fit",
      "topics": [
        "PLL.CoxBoost"
      ]
    },
    {
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      "title": "Predictive partial log-likelihood for Cox poportional hazards model",
      "topics": [
        "PLL.coxph"
      ]
    },
    {
      "page": "PLL.penfit",
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    },
    {
      "page": "plot.peperr",
      "title": "Plot method for peperr object",
      "topics": [
        "plot.peperr"
      ]
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      ]
    },
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    {
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    },
    {
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      "title": "Extract predicted survival probabilities from a survfit object",
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