{
  "_id": "6a212c0ccd65a98ecbd23722",
  "Package": "SimNPH",
  "Type": "Package",
  "Title": "Simulate Non-Proportional Hazards",
  "Version": "0.5.8",
  "Authors@R": "c(person(\"Tobias\", \"Fellinger\", email=\"tobias.fellinger@ages.at\", role=c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0001-9474-2731\")),\nperson(\"Florian\", \"Klinglmueller\", role=c(\"aut\"), comment = c(ORCID = \"0000-0002-7346-3669\")))",
  "License": "BSL-1.0",
  "Description": "A toolkit for simulation studies concerning time-to-event\nendpoints with non-proportional hazards. 'SimNPH' encompasses\nfunctions for simulating time-to-event data in various\nscenarios, simulating different trial designs like\nfixed-followup, event-driven, and group sequential designs. The\npackage provides functions to calculate the true values of\ncommon summary statistics for the implemented scenarios and\noffers common analysis methods for time-to-event data. Helper\nfunctions for running simulations with the 'SimDesign' package\nand for aggregating and presenting the results are also\nincluded. Results of the conducted simulation study are\navailable in the paper: \"A Comparison of Statistical Methods\nfor Time-To-Event Analyses in Randomized Controlled Trials\nUnder Non-Proportional Hazards\", Klinglmüller et al. (2025)\n<doi:10.1002/sim.70019>.",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.3",
  "Roxygen": "list(markdown = TRUE)",
  "URL": "https://simnph.github.io/SimNPH/,\nhttps://github.com/SimNPH/SimNPH/",
  "BugReports": "https://github.com/SimNPH/SimNPH/issues/",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libx11-dev",
  "Repository": "https://simnph.r-universe.dev",
  "Date/Publication": "2025-09-19 09:05:32 UTC",
  "RemoteUrl": "https://github.com/simnph/simnph",
  "RemoteRef": "HEAD",
  "RemoteSha": "e16f166bf530a912f4f7eb3e9adef106c56a3785",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 07:36:51 UTC",
    "User": "root"
  },
  "Author": "Tobias Fellinger [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-9474-2731>),\nFlorian Klinglmueller [aut] (ORCID:\n<https://orcid.org/0000-0002-7346-3669>)",
  "Maintainer": "Tobias Fellinger <tobias.fellinger@ages.at>",
  "MD5sum": "8ea69a7df9f685e6816df1117e54fd0c",
  "_user": "simnph",
  "_type": "src",
  "_file": "SimNPH_0.5.8.tar.gz",
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  "_filesize": 460264,
  "_sha256": "ec81434730c0867e27c2039a19f8669cf3844ab527c5b6ce1b699fbfcd1f585e",
  "_created": "2026-06-04T07:36:51.000Z",
  "_published": "2026-06-04T07:41:00.312Z",
  "_distro": "noble",
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/simnph/actions/runs/26937656060",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/simnph/simnph",
  "_commit": {
    "id": "e16f166bf530a912f4f7eb3e9adef106c56a3785",
    "author": "Tobias Fellinger <103025608+TobiasFellinger@users.noreply.github.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #196 from SimNPH/bugfix\n\nupdated tests",
    "time": 1758272732
  },
  "_maintainer": {
    "name": "Tobias Fellinger",
    "email": "tobias.fellinger@ages.at",
    "login": "tobiasfellinger",
    "mastodon": "@stats_tobby@fediscience.org",
    "description": "I'm a biostatistician ans statistical programmer currently working at the Austrian Medicines and Medical Devices Agency.\n\nI mainly code in R.",
    "uuid": 103025608,
    "orcid": "0000-0001-9474-2731"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "SimDesign",
      "role": "Depends"
    },
    {
      "package": "survival",
      "role": "Depends"
    },
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "miniPCH",
      "version": ">= 0.3.0",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "nph",
      "role": "Imports"
    },
    {
      "package": "nphRCT",
      "role": "Imports"
    },
    {
      "package": "car",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
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    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "withr",
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    },
    {
      "package": "ldbounds",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "patchwork",
      "role": "Suggests"
    },
    {
      "package": "vdiffr",
      "role": "Suggests"
    }
  ],
  "_owner": "simnph",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-38",
      "n": 2
    }
  ],
  "_tags": [],
  "_topics": [
    "clinical-trial-simulations",
    "non-proportional-hazards",
    "statistical-simulation",
    "statistics",
    "survival-analysis"
  ],
  "_stars": 5,
  "_contributors": [
    {
      "user": "tobiasfellinger",
      "count": 560,
      "uuid": 103025608
    },
    {
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      "uuid": 636750
    },
    {
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      "count": 1,
      "uuid": 49372158
    }
  ],
  "_userbio": {
    "uuid": 116185044,
    "type": "organization",
    "name": "SimNPH"
  },
  "_downloads": {
    "count": 137,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SimNPH"
  },
  "_devurl": "https://github.com/simnph/simnph",
  "_pkgdown": "https://simnph.github.io/SimNPH/",
  "_searchresults": 44,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/SimNPH.html",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/simnph/simnph",
  "_realowner": "simnph",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.5.3",
      "date": "2023-11-09"
    },
    {
      "version": "0.5.4",
      "date": "2024-01-08"
    },
    {
      "version": "0.5.5",
      "date": "2024-03-04"
    },
    {
      "version": "0.5.6",
      "date": "2025-02-20"
    },
    {
      "version": "0.5.7",
      "date": "2025-04-08"
    },
    {
      "version": "0.5.8",
      "date": "2025-09-19"
    }
  ],
  "_exports": [
    "admin_censoring_events",
    "admin_censoring_time",
    "analyse_aft",
    "analyse_ahr",
    "analyse_coxph",
    "analyse_describe",
    "analyse_diff_median_survival",
    "analyse_gehan_wilcoxon",
    "analyse_group_sequential",
    "analyse_logrank",
    "analyse_logrank_fh_weights",
    "analyse_maxcombo",
    "analyse_milestone_survival",
    "analyse_modelstly_weighted",
    "analyse_piecewise_exponential",
    "analyse_rmst_diff",
    "analyse_weibull",
    "assumptions_crossing_hazards",
    "assumptions_delayed_effect",
    "assumptions_progression",
    "assumptions_subgroup",
    "cen_rate_from_cen_prop_crossing_hazards",
    "cen_rate_from_cen_prop_delayed_effect",
    "cen_rate_from_cen_prop_progression",
    "cen_rate_from_cen_prop_subgroup",
    "combined_plot",
    "create_summarise_function",
    "d2m",
    "design_fixed_followup",
    "design_group_sequential",
    "generate_crossing_hazards",
    "generate_delayed_effect",
    "generate_progression",
    "generate_subgroup",
    "hazard_before_progression_from_PH_effect_size",
    "hazard_subgroup_from_PH_effect_size",
    "hr_after_crossing_from_PH_effect_size",
    "hr_after_onset_from_PH_effect_size",
    "labs_from_labels",
    "m2d",
    "m2r",
    "merge_additional_results",
    "mixture_cdf_fun",
    "mixture_cumhaz_fun",
    "mixture_haz_fun",
    "mixture_pdf_fun",
    "mixture_quant_fun",
    "mixture_rng_fun",
    "mixture_surv_fun",
    "progression_cdf_fun",
    "progression_haz_fun",
    "progression_pdf_fun",
    "progression_quant_fun",
    "progression_rate_from_progression_prop",
    "progression_surv_fun",
    "r2m",
    "random_censoring_exp",
    "recruitment_uniform",
    "rename_results_column",
    "rename_results_column_pattern",
    "results_pivot_longer",
    "shhr_gg",
    "summarise_describe",
    "summarise_estimator",
    "summarise_group_sequential",
    "summarise_test",
    "true_summary_statistics_crossing_hazards",
    "true_summary_statistics_delayed_effect",
    "true_summary_statistics_progression",
    "true_summary_statistics_subgroup",
    "upsert_merge",
    "wrap_all_in_preserve_seed",
    "wrap_all_in_trycatch"
  ],
  "_datasets": [
    {
      "name": "combination_tests_delayed",
      "title": "Results of an example simulation",
      "object": "combination_tests_delayed",
      "class": [
        "SimDesign",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "delay",
        "hazard_ctrl",
        "hr",
        "random_withdrawal",
        "n_pat",
        "followup",
        "recruitment",
        "final_events",
        "hazard_trt",
        "n_ctrl",
        "n_trt",
        "median_survival_trt",
        "median_survival_ctrl",
        "rmst_trt_15",
        "rmst_ctrl_15",
        "gAHR_15",
        "AHR_15",
        "AHRoc_15",
        "AHRoc_robust_15",
        "logrank.rejection_0.025",
        "logrank.N_missing_0.025",
        "logrank.N",
        "logrank.mean_n_pat",
        "logrank.sd_n_pat",
        "logrank.mean_n_evt",
        "logrank.sd_n_evt",
        "logrank.N_missing_n_pat",
        "logrank.N_missing_n_evt",
        "mwlrt.rejection_0.025",
        "mwlrt.N_missing_0.025",
        "mwlrt.N",
        "mwlrt.mean_n_pat",
        "mwlrt.sd_n_pat",
        "mwlrt.mean_n_evt",
        "mwlrt.sd_n_evt",
        "mwlrt.N_missing_n_pat",
        "mwlrt.N_missing_n_evt",
        "maxcombo.rejection_0.025",
        "maxcombo.N_missing_0.025",
        "maxcombo.N",
        "maxcombo.mean_n_pat",
        "maxcombo.sd_n_pat",
        "maxcombo.mean_n_evt",
        "maxcombo.sd_n_evt",
        "maxcombo.N_missing_n_pat",
        "maxcombo.N_missing_n_evt",
        "REPLICATIONS",
        "SIM_TIME",
        "RAM_USED",
        "SEED",
        "COMPLETED"
      ],
      "rows": 486,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "analyse_aft",
      "title": "Analyse Dataset with accelarated failure time models",
      "topics": [
        "analyse_aft"
      ]
    },
    {
      "page": "analyse_ahr",
      "title": "Analyse the dataset using extimators for the the average hazard ratio",
      "topics": [
        "analyse_ahr"
      ]
    },
    {
      "page": "analyse_coxph",
      "title": "Analyse Dataset with the Cox Protportional Hazards Model",
      "topics": [
        "analyse_coxph"
      ]
    },
    {
      "page": "analyse_describe",
      "title": "Create a Function for Descriptive Statistics of a Dataset",
      "topics": [
        "analyse_describe",
        "summarise_describe"
      ]
    },
    {
      "page": "analyse_diff_median_survival",
      "title": "Analyse the dataset using differnce in median survival",
      "topics": [
        "analyse_diff_median_survival"
      ]
    },
    {
      "page": "analyse_gehan_wilcoxon",
      "title": "Create Analyse function for Gehan Wilcoxon test",
      "topics": [
        "analyse_gehan_wilcoxon"
      ]
    },
    {
      "page": "analyse_group_sequential",
      "title": "Create Analyse Functions for Group Sequential Design",
      "topics": [
        "analyse_group_sequential",
        "summarise_group_sequential"
      ]
    },
    {
      "page": "analyse_logrank",
      "title": "Analyse Dataset with the Logrank Test",
      "topics": [
        "analyse_logrank"
      ]
    },
    {
      "page": "analyse_logrank_fh_weights",
      "title": "Analyse Dataset with the Fleming Harrington weighted Logrank Test",
      "topics": [
        "analyse_logrank_fh_weights"
      ]
    },
    {
      "page": "analyse_maxcombo",
      "title": "Analyse Dataset with the Maxcombo Test",
      "topics": [
        "analyse_maxcombo"
      ]
    },
    {
      "page": "analyse_milestone_survival",
      "title": "Analyse the Dataset using difference or quotient of milestone survival",
      "topics": [
        "analyse_milestone_survival"
      ]
    },
    {
      "page": "analyse_modelstly_weighted",
      "title": "Create Analyse function for the modestly weighted logrank test",
      "topics": [
        "analyse_modelstly_weighted"
      ]
    },
    {
      "page": "analyse_piecewise_exponential",
      "title": "Create Analyse function for piecewise exponential model",
      "topics": [
        "analyse_piecewise_exponential"
      ]
    },
    {
      "page": "analyse_rmst_diff",
      "title": "Analyse the Dataset using the difference in RMST",
      "topics": [
        "analyse_rmst_diff"
      ]
    },
    {
      "page": "analyse_weibull",
      "title": "Analyse Dataset with Weibull Regression",
      "topics": [
        "analyse_weibull"
      ]
    },
    {
      "page": "generate_progression",
      "title": "Create an empty assumtions data.frame for generate_progression",
      "topics": [
        "assumptions_progression",
        "cen_rate_from_cen_prop_progression",
        "generate_progression",
        "hazard_before_progression_from_PH_effect_size",
        "progression_rate_from_progression_prop",
        "true_summary_statistics_progression"
      ]
    },
    {
      "page": "combination_tests_delayed",
      "title": "Results of an example simulation",
      "topics": [
        "combination_tests_delayed"
      ]
    },
    {
      "page": "create_summarise_function",
      "title": "Create a summarise function from a named list of functions",
      "topics": [
        "create_summarise_function"
      ]
    },
    {
      "page": "design_fixed_followup",
      "title": "Create a data.frame with an example fixed design",
      "topics": [
        "design_fixed_followup"
      ]
    },
    {
      "page": "design_group_sequential",
      "title": "Create a data.frame with an example group sequential design",
      "topics": [
        "design_group_sequential"
      ]
    },
    {
      "page": "generate_crossing_hazards",
      "title": "Generate Dataset with crossing hazards",
      "topics": [
        "assumptions_crossing_hazards",
        "cen_rate_from_cen_prop_crossing_hazards",
        "generate_crossing_hazards",
        "hr_after_crossing_from_PH_effect_size",
        "true_summary_statistics_crossing_hazards"
      ]
    },
    {
      "page": "generate_delayed_effect",
      "title": "Generate Dataset with delayed effect",
      "topics": [
        "assumptions_delayed_effect",
        "cen_rate_from_cen_prop_delayed_effect",
        "generate_delayed_effect",
        "hr_after_onset_from_PH_effect_size",
        "true_summary_statistics_delayed_effect"
      ]
    },
    {
      "page": "generate_subgroup",
      "title": "Generate Dataset with different treatment effect in subgroup",
      "topics": [
        "assumptions_subgroup",
        "cen_rate_from_cen_prop_subgroup",
        "generate_subgroup",
        "hazard_subgroup_from_PH_effect_size",
        "true_summary_statistics_subgroup"
      ]
    },
    {
      "page": "labs_from_labels",
      "title": "Add ggplot axis labels from labels attribute",
      "topics": [
        "labs_from_labels"
      ]
    },
    {
      "page": "mixture_haz_fun",
      "title": "Fast implementation of hazard, cumulative hazard, ... for mixtures of subpopulations",
      "topics": [
        "mixture_cdf_fun",
        "mixture_cumhaz_fun",
        "mixture_haz_fun",
        "mixture_pdf_fun",
        "mixture_quant_fun",
        "mixture_rng_fun",
        "mixture_surv_fun"
      ]
    },
    {
      "page": "progression_cdf_fun",
      "title": "Fast implementation of cumulative density function, survival function, ... for scenarios with progression",
      "topics": [
        "progression_cdf_fun",
        "progression_haz_fun",
        "progression_pdf_fun",
        "progression_quant_fun",
        "progression_surv_fun"
      ]
    },
    {
      "page": "r2m",
      "title": "Functions to Convert Between Days and Months and Medians and Rates",
      "topics": [
        "d2m",
        "m2d",
        "m2r",
        "r2m"
      ]
    },
    {
      "page": "random_censoring_exp",
      "title": "Apply Random Exponentially Distributed Censoring",
      "topics": [
        "random_censoring_exp"
      ]
    },
    {
      "page": "admin_censoring_time",
      "title": "Add recruitment time to Dataset",
      "topics": [
        "admin_censoring_events",
        "admin_censoring_time",
        "recruitment_uniform"
      ]
    },
    {
      "page": "rename_results_column",
      "title": "Rename Columns in Simulation Results and Update Attributes",
      "topics": [
        "rename_results_column",
        "rename_results_column_pattern"
      ]
    },
    {
      "page": "results_pivot_longer",
      "title": "Functions for Plotting and Reporting Results",
      "topics": [
        "combined_plot",
        "results_pivot_longer"
      ]
    },
    {
      "page": "shhr_gg",
      "title": "Plot of survival, hazard and hazard ratio of two groups as a function of time using ggplot and patchwork",
      "topics": [
        "shhr_gg"
      ]
    },
    {
      "page": "summarise_estimator",
      "title": "Generic Summarise function for esitmators",
      "topics": [
        "summarise_estimator"
      ]
    },
    {
      "page": "summarise_test",
      "title": "Generic summarise function for tests",
      "topics": [
        "summarise_test"
      ]
    },
    {
      "page": "merge_additional_results",
      "title": "Merge results from additional or updated simulations",
      "topics": [
        "merge_additional_results",
        "upsert_merge"
      ]
    },
    {
      "page": "wrap_all_in_trycatch",
      "title": "Wrappers around Analyse Functions",
      "topics": [
        "wrap_all_in_preserve_seed",
        "wrap_all_in_trycatch"
      ]
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        "Setting up the Scenarios",
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        "Defining the 'Summarise' function",
        "Putting it all together",
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        "Defining the Summarise function"
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      "modified": "2025-09-19 09:05:32",
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