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  "Title": "Explainable Machine Learning in Survival Analysis",
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  "Authors@R": "c(\nperson(\"Mikołaj\", \"Spytek\", email = \"mikolajspytek@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0001-7111-2286\")),\nperson(\"Mateusz\", \"Krzyziński\", role = c(\"aut\"), comment = c(ORCID = \"0000-0001-6143-488X\")),\nperson(\"Sophie\", \"Langbein\", role = c(\"aut\")),\nperson(\"Hubert\", \"Baniecki\", role = c(\"aut\"), comment = c(ORCID = \"0000-0001-6661-5364\")),\nperson(\"Lorenz A.\", \"Kapsner\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0003-1866-860X\")),\nperson(\"Przemyslaw\", \"Biecek\", role = c(\"aut\"), comment = c(ORCID = \"0000-0001-8423-1823\"))\n)",
  "Description": "Survival analysis models are commonly used in medicine and\nother areas. Many of them are too complex to be interpreted by\nhuman. Exploration and explanation is needed, but standard\nmethods do not give a broad enough picture. 'survex' provides\neasy-to-apply methods for explaining survival models, both\ncomplex black-boxes and simpler statistical models. They\ninclude methods specific to survival analysis such as\nSurvSHAP(t) introduced in Krzyzinski et al., (2023)\n<doi:10.1016/j.knosys.2022.110234>, SurvLIME described in\nKovalev et al., (2020) <doi:10.1016/j.knosys.2020.106164> as\nwell as extensions of existing ones described in Biecek et al.,\n(2021) <doi:10.1201/9780429027192>.",
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  "URL": "https://modeloriented.github.io/survex/",
  "BugReports": "https://github.com/ModelOriented/survex/issues",
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  "Repository": "https://modeloriented.r-universe.dev",
  "Date/Publication": "2024-06-15 13:03:13 UTC",
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  "Packaged": {
    "Date": "2026-05-19 10:00:20 UTC",
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  "Author": "Mikołaj Spytek [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-7111-2286>),\nMateusz Krzyziński [aut] (ORCID:\n<https://orcid.org/0000-0001-6143-488X>),\nSophie Langbein [aut],\nHubert Baniecki [aut] (ORCID: <https://orcid.org/0000-0001-6661-5364>),\nLorenz A. Kapsner [ctb] (ORCID:\n<https://orcid.org/0000-0003-1866-860X>),\nPrzemyslaw Biecek [aut] (ORCID:\n<https://orcid.org/0000-0001-8423-1823>)",
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    "explain",
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    "extract_predict_survshap",
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    "loss_adapt_mlr3proba",
    "loss_brier_score",
    "loss_integrate",
    "loss_integrated_brier_score",
    "loss_one_minus_c_index",
    "loss_one_minus_cd_auc",
    "loss_one_minus_integrated_cd_auc",
    "model_diagnostics",
    "model_parts",
    "model_performance",
    "model_profile",
    "model_profile_2d",
    "model_survshap",
    "predict_parts",
    "predict_profile",
    "risk_from_chf",
    "set_theme_survex",
    "surv_model_info",
    "survival_to_cumulative_hazard",
    "theme_default_survex",
    "theme_vertical_default_survex",
    "transform_to_stepfunction"
  ],
  "_help": [
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      "page": "brier_score",
      "title": "Calculate Brier score",
      "topics": [
        "brier_score",
        "loss_brier_score"
      ]
    },
    {
      "page": "c_index",
      "title": "Compute the Harrell's Concordance index",
      "topics": [
        "c_index"
      ]
    },
    {
      "page": "cd_auc",
      "title": "Calculate Cumulative/Dynamic AUC",
      "topics": [
        "cd_auc"
      ]
    },
    {
      "page": "cumulative_hazard_to_survival",
      "title": "Transform Cumulative Hazard to Survival",
      "topics": [
        "cumulative_hazard_to_survival"
      ]
    },
    {
      "page": "explain_survival",
      "title": "A model-agnostic explainer for survival models",
      "topics": [
        "explain",
        "explain.default",
        "explain_survival"
      ]
    },
    {
      "page": "extract_predict_survshap",
      "title": "Extract Local SurvSHAP(t) from Global SurvSHAP(t)",
      "topics": [
        "extract_predict_survshap"
      ]
    },
    {
      "page": "integrated_brier_score",
      "title": "Calculate integrated Brier score",
      "topics": [
        "integrated_brier_score",
        "loss_integrated_brier_score"
      ]
    },
    {
      "page": "integrated_cd_auc",
      "title": "Calculate integrated C/D AUC",
      "topics": [
        "integrated_cd_auc"
      ]
    },
    {
      "page": "loss_adapt_mlr3proba",
      "title": "Adapt mlr3proba measures for use with survex",
      "topics": [
        "loss_adapt_mlr3proba"
      ]
    },
    {
      "page": "loss_integrate",
      "title": "Calculate integrated metrics based on time-dependent metrics.",
      "topics": [
        "loss_integrate"
      ]
    },
    {
      "page": "loss_one_minus_c_index",
      "title": "Calculate the Concordance index loss",
      "topics": [
        "loss_one_minus_c_index"
      ]
    },
    {
      "page": "loss_one_minus_cd_auc",
      "title": "Calculate Cumulative/Dynamic AUC loss",
      "topics": [
        "loss_one_minus_cd_auc"
      ]
    },
    {
      "page": "loss_one_minus_integrated_cd_auc",
      "title": "Calculate integrated C/D AUC loss",
      "topics": [
        "loss_one_minus_integrated_cd_auc"
      ]
    },
    {
      "page": "model_diagnostics.surv_explainer",
      "title": "Dataset Level Model Diagnostics",
      "topics": [
        "model_diagnostics",
        "model_diagnostics.surv_explainer"
      ]
    },
    {
      "page": "model_parts.surv_explainer",
      "title": "Dataset Level Variable Importance for Survival Models",
      "topics": [
        "model_parts",
        "model_parts.surv_explainer"
      ]
    },
    {
      "page": "model_performance.surv_explainer",
      "title": "Dataset Level Performance Measures",
      "topics": [
        "model_performance",
        "model_performance.surv_explainer"
      ]
    },
    {
      "page": "model_profile.surv_explainer",
      "title": "Dataset Level Variable Profile as Partial Dependence Explanations for Survival Models",
      "topics": [
        "model_profile",
        "model_profile.surv_explainer"
      ]
    },
    {
      "page": "model_profile_2d.surv_explainer",
      "title": "Dataset Level 2-Dimensional Variable Profile for Survival Models",
      "topics": [
        "model_profile_2d",
        "model_profile_2d.surv_explainer"
      ]
    },
    {
      "page": "model_survshap.surv_explainer",
      "title": "Global SHAP Values",
      "topics": [
        "model_survshap",
        "model_survshap.surv_explainer"
      ]
    },
    {
      "page": "plot.aggregated_surv_shap",
      "title": "Plot Aggregated SurvSHAP(t) Explanations for Survival Models",
      "topics": [
        "plot.aggregated_surv_shap"
      ]
    },
    {
      "page": "plot.model_diagnostics_survival",
      "title": "Plot Model Diagnostics for Survival Models",
      "topics": [
        "plot.model_diagnostics_survival"
      ]
    },
    {
      "page": "plot.model_parts_survival",
      "title": "Plot Model Parts for Survival Models",
      "concept": [
        "functions for plotting 'model_parts_survival' objects"
      ],
      "topics": [
        "plot.model_parts_survival"
      ]
    },
    {
      "page": "plot.model_performance_survival",
      "title": "Plot Model Performance for Survival Models",
      "concept": [
        "functions for plotting 'model_performance_survival' objects"
      ],
      "topics": [
        "plot.model_performance_survival"
      ]
    },
    {
      "page": "plot.model_profile_2d_survival",
      "title": "Plot 2-Dimensional Model Profile for Survival Models",
      "topics": [
        "plot.model_profile_2d_survival"
      ]
    },
    {
      "page": "plot.model_profile_survival",
      "title": "Plot Model Profile for Survival Models",
      "topics": [
        "plot.model_profile_survival"
      ]
    },
    {
      "page": "plot.predict_parts_survival",
      "title": "Plot Predict Parts for Survival Models",
      "concept": [
        "functions for plotting 'predict_parts_survival' objects"
      ],
      "topics": [
        "plot.predict_parts_survival"
      ]
    },
    {
      "page": "plot.predict_profile_survival",
      "title": "Plot Predict Profile for Survival Models",
      "topics": [
        "plot.predict_profile_survival"
      ]
    },
    {
      "page": "plot.surv_feature_importance",
      "title": "Plot Permutational Feature Importance for Survival Models",
      "concept": [
        "functions for plotting 'model_parts_survival' objects"
      ],
      "topics": [
        "plot.surv_feature_importance"
      ]
    },
    {
      "page": "plot.surv_lime",
      "title": "Plot SurvLIME Explanations for Survival Models",
      "concept": [
        "functions for plotting 'predict_parts_survival' objects"
      ],
      "topics": [
        "plot.surv_lime"
      ]
    },
    {
      "page": "plot.surv_model_performance",
      "title": "Plot Model Performance Metrics for Survival Models",
      "concept": [
        "functions for plotting 'model_performance_survival' objects"
      ],
      "topics": [
        "plot.surv_model_performance"
      ]
    },
    {
      "page": "plot.surv_model_performance_rocs",
      "title": "Plot ROC Curves for Survival Models",
      "concept": [
        "functions for plotting 'model_performance_survival' objects"
      ],
      "topics": [
        "plot.surv_model_performance_rocs"
      ]
    },
    {
      "page": "plot.surv_shap",
      "title": "Plot SurvSHAP(t) Explanations for Survival Models",
      "concept": [
        "functions for plotting 'predict_parts_survival' objects"
      ],
      "topics": [
        "plot.surv_shap"
      ]
    },
    {
      "page": "predict_parts.surv_explainer",
      "title": "Instance Level Parts of Survival Model Predictions",
      "topics": [
        "predict_parts",
        "predict_parts.surv_explainer"
      ]
    },
    {
      "page": "predict_profile.surv_explainer",
      "title": "Instance Level Profile as Ceteris Paribus for Survival Models",
      "topics": [
        "predict_profile",
        "predict_profile.surv_explainer"
      ]
    },
    {
      "page": "predict.surv_explainer",
      "title": "Model Predictions for Survival Models",
      "topics": [
        "predict.surv_explainer"
      ]
    },
    {
      "page": "risk_from_chf",
      "title": "Generate Risk Prediction based on the Survival Function",
      "topics": [
        "risk_from_chf"
      ]
    },
    {
      "page": "theme_survex",
      "title": "Default Theme for survex plots",
      "topics": [
        "set_theme_survex",
        "theme_default_survex",
        "theme_vertical_default_survex"
      ]
    },
    {
      "page": "surv_model_info",
      "title": "Extract additional information from the model",
      "topics": [
        "surv_model_info",
        "surv_model_info.coxph",
        "surv_model_info.cph",
        "surv_model_info.default",
        "surv_model_info.flexsurvreg",
        "surv_model_info.LearnerSurv",
        "surv_model_info.model_fit",
        "surv_model_info.ranger",
        "surv_model_info.rfsrc",
        "surv_model_info.sksurv"
      ]
    },
    {
      "page": "survival_to_cumulative_hazard",
      "title": "Transform Survival to Cumulative Hazard",
      "topics": [
        "survival_to_cumulative_hazard"
      ]
    },
    {
      "page": "transform_to_stepfunction",
      "title": "Transform Fixed Point Prediction into a Stepfunction",
      "topics": [
        "transform_to_stepfunction"
      ]
    }
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