{ "_id": "6a21402dcd65a98ecbd2a2bc", "Package": "EquiSurv", "Type": "Package", "Title": "Modeling, Confidence Intervals and Equivalence of Survival\nCurves", "Version": "0.1.0", "Author": "Kathrin Moellenhoff", "Maintainer": "Kathrin Moellenhoff ", "Description": "We provide a non-parametric and a parametric approach to\ninvestigate the equivalence (or non-inferiority) of two\nsurvival curves, obtained from two given datasets. The test is\nbased on the creation of confidence intervals at pre-specified\ntime points. For the non-parametric approach, the curves are\ngiven by Kaplan-Meier curves and the variance for calculating\nthe confidence intervals is obtained by Greenwood's formula.\nThe parametric approach is based on estimating the underlying\ndistribution, where the user can choose between a Weibull,\nExponential, Gaussian, Logistic, Log-normal or a Log-logistic\ndistribution. Estimates for the variance for calculating the\nconfidence bands are obtained by a (parametric) bootstrap\napproach. For this bootstrap censoring is assumed to be\nexponentially distributed and estimates are obtained from the\ndatasets under consideration. All details can be found in\nK.Moellenhoff and A.Tresch: Survival analysis under\nnon-proportional hazards: investigating non-inferiority or\nequivalence in time-to-event data .", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 09:03:46 UTC", "User": "root" }, "Repository": "https://kathrinmoellenhoff.r-universe.dev", "Date/Publication": "2020-09-23 12:30:02 UTC", "RemoteUrl": "https://github.com/cran/EquiSurv", "RemoteRef": "HEAD", "RemoteSha": "cf689a79afd6f0797464f148be8365bd2a4e3e08", "MD5sum": "38e7a4f236b772fb84317a7e1ff9b3ca", "_user": "kathrinmoellenhoff", "_type": "src", "_file": "EquiSurv_0.1.0.tar.gz", "_fileid": "93ad6a415356344706c9666c8bea096099cea7f6a045e065b2a0a82c7be054d1", "_filesize": 144314, "_sha256": "93ad6a415356344706c9666c8bea096099cea7f6a045e065b2a0a82c7be054d1", "_created": "2026-06-04T09:03:46.000Z", "_published": "2026-06-04T09:06:53.830Z", "_distro": "noble", "_jobs": [ { 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"boot_logistic", "title": "Parametric Bootstrap of time-to-event data following a logistic distribution", "topics": [ "boot_logistic" ] }, { "page": "boot_loglogistic", "title": "Parametric Bootstrap of time-to-event data following a loglogistic distribution", "topics": [ "boot_loglogistic" ] }, { "page": "boot_lognormal", "title": "Parametric Bootstrap of time-to-event data following a lognormal distribution", "topics": [ "boot_lognormal" ] }, { "page": "boot_weibull", "title": "Parametric Bootstrap of time-to-event data following a Weibull distribution", "topics": [ "boot_weibull" ] }, { "page": "confint_diff", "title": "Lower and upper confidence bounds for the difference of two parametric survival curves", "topics": [ "confint_diff" ] }, { "page": "confint_km_diff", "title": "Lower and upper confidence bounds for the difference of two Kaplan-Meier curves", "topics": [ "confint_km_diff" ] }, { "page": "test_diff", "title": "Non-inferiority and equivalence test for the difference of 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