{ "_id": "6ac0af9f91601a2ad2997516", "Package": "timeEL", "Title": "Time to Event Analysis via Empirical Likelihood Inference", "Version": "0.9.1", "Authors@R": "c(person(\"Paul\", \"Blanche\", email= \"paulfblanche@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-1415-7976\")),person(\"Frank\", \"Eriksson\", role = c(\"ctb\")))", "Description": "Computation of t-year survival probabilities and t-year\nrisks with right censored survival data. The Kaplan-Meier\nestimator is used to provide estimates for data without\ncompeting risks and the Aalen-Johansen estimator is used when\nthere are competing risks. Confidence intervals and p-values\nare obtained using either usual Wald-type inference or\nempirical likelihood inference, as described in Thomas and\nGrunkemeier (1975) and\nBlanche (2020) . Functions for\nboth one-sample and two-sample inference are provided. Unlike\nWald-type inference, empirical likelihood inference always\nleads to consistent conclusions, in terms of statistical\nsignificance, when comparing two risks (or survival\nprobabilities) via either a ratio or a difference.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/testthat/edition": "3", "LazyData": "true", "Repository": "https://paulowhite.r-universe.dev", "Date/Publication": "2024-08-27 06:44:47 UTC", "RemoteUrl": "https://github.com/paulowhite/timeel", "RemoteRef": "HEAD", "RemoteSha": "5d2c887de0b0cb53e96b5a80896902e7200d4b3a", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-03 07:28:59 UTC", "User": "root" }, "Author": "Paul Blanche [aut, cre] (ORCID:\n),\nFrank Eriksson [ctb]", "Maintainer": "Paul Blanche ", "_user": "paulowhite", "_type": "src", "_file": "timeEL_0.9.1.tar.gz", "_fileid": "https://r2.ropensci.org/df051695666e809ac96d0c3133ee3b2063ff5043cc8aa4b6de684835c397ce05", "_filesize": 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