{ "_id": "6a0ff9d2acfb0bcc41c78881", "Package": "frailtypack", "Title": "Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints", "Version": "3.8.0", "Date": "2025-11-20", "Authors@R": "c(\nperson(\"Virginie\", \"Rondeau\", , \"virginie.rondeau@u-bordeaux.fr\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7109-4831\")),\nperson(\"Juan R.\", \"Gonzalez\", role = \"aut\"),\nperson(\"Yassin\", \"Mazroui\", role = \"aut\"),\nperson(\"Audrey\", \"Mauguen\", role = \"aut\"),\nperson(\"Amadou\", \"Diakite\", role = \"aut\"),\nperson(\"Alexandre\", \"Laurent\", role = \"aut\"),\nperson(\"Myriam\", \"Lopez\", role = \"aut\"),\nperson(\"Agnieszka\", \"Krol\", role = \"aut\"),\nperson(\"Casimir L.\", \"Sofeu\", role = \"aut\"),\nperson(\"Julien\", \"Dumerc\", role = \"aut\"),\nperson(\"Denis\", \"Rustand\", role = \"aut\"),\nperson(\"Jocelyn\", \"Chauvet\", role = \"aut\"),\nperson(\"Quentin\", \"Le Coent\", role = \"aut\"),\nperson(\"Romain\", \"Pierlot\", role = \"aut\"),\nperson(\"Lacey\", \"Etzkorn\", role = \"aut\"),\nperson(\"Derek\", \"Dinart\", role = \"aut\"),\nperson(\"Adrien\", \"Orué\", role = \"aut\"),\nperson(\"Ayoub\", \"Bifenzi\", role = \"aut\"),\nperson(\"Viviane\", \"Philipps\", role = \"aut\"),\nperson(\"David\", \"Hill\", role = \"cph\"),\nperson(\"John\", \"Burkardt\", role = \"cph\"),\nperson(\"Alan\", \"Genz\", role = \"cph\"),\nperson(\"Ashwith J.\", \"Rego\", role = \"cph\")\n)", "Author": "Virginie Rondeau [aut, cre] (ORCID:\n), Juan R. Gonzalez\n[aut], Yassin Mazroui [aut], Audrey Mauguen [aut], Amadou\nDiakite [aut], Alexandre Laurent [aut], Myriam Lopez [aut],\nAgnieszka Krol [aut], Casimir L. Sofeu [aut], Julien Dumerc\n[aut], Denis Rustand [aut], Jocelyn Chauvet [aut], Quentin Le\nCoent [aut], Romain Pierlot [aut], Lacey Etzkorn [aut], Derek\nDinart [aut], Adrien Orué [aut], Ayoub Bifenzi [aut], Viviane\nPhilipps [aut], David Hill [cph], John Burkardt [cph], Alan\nGenz [cph], Ashwith J. Rego [cph]", "Maintainer": "Virginie Rondeau ", "Description": "The following several classes of frailty models using a\npenalized likelihood estimation on the hazard function but also\na parametric estimation can be fit using this R package: 1) A\nshared frailty model (with gamma or log-normal frailty\ndistribution) and Cox proportional hazard model. Clustered and\nrecurrent survival times can be studied. 2) Additive frailty\nmodels for proportional hazard models with two correlated\nrandom effects (intercept random effect with random slope). 3)\nNested frailty models for hierarchically clustered data (with 2\nlevels of clustering) by including two iid gamma random\neffects. 4) Joint frailty models in the context of the joint\nmodelling for recurrent events with terminal event for\nclustered data or not. A joint frailty model for two\nsemi-competing risks and clustered data is also proposed. 5)\nJoint general frailty models in the context of the joint\nmodelling for recurrent events with terminal event data with\ntwo independent frailty terms. 6) Joint Nested frailty models\nin the context of the joint modelling for recurrent events with\nterminal event, for hierarchically clustered data (with two\nlevels of clustering) by including two iid gamma random\neffects. 7) Multivariate joint frailty models for two types of\nrecurrent events and a terminal event. 8) Joint models for\nlongitudinal data and a terminal event. 9) Trivariate joint\nmodels for longitudinal data, recurrent events and a terminal\nevent. 10) Joint frailty models for the validation of\nsurrogate endpoints in multiple randomized clinical trials with\nfailure-time and/or longitudinal endpoints with the possibility\nto use a mediation analysis model. 11) Conditional and\nMarginal two-part joint models for longitudinal semicontinuous\ndata and a terminal event. 12) Joint frailty-copula models for\nthe validation of surrogate endpoints in multiple randomized\nclinical trials with failure-time endpoints. 13) Generalized\nshared and joint frailty models for recurrent and terminal\nevents. Proportional hazards (PH), additive hazard (AH),\nproportional odds (PO) and probit models are available in a\nfully parametric framework. For PH and AH models, it is\npossible to consider type-varying coefficients and flexible\nsemiparametric hazard function. Prediction values are\navailable (for a terminal event or for a new recurrent event).\nLeft-truncated (not for Joint model), right-censored data,\ninterval-censored data (only for Cox proportional hazard and\nshared frailty model) and strata are allowed. In each model,\nthe random effects have the gamma or normal distribution. Now,\nyou can also consider time-varying covariates effects in Cox,\nshared and joint frailty models (1-5). The package includes\nconcordance measures for Cox proportional hazards models and\nfor shared frailty models. 14) Competing Joint Frailty Model:\nA single type of recurrent event and two terminal events. 15)\nfunctions to compute power and sample size for four\nGamma-frailty-based designs: Shared Frailty Models, Nested\nFrailty Models, Joint Frailty Models, and General Joint Frailty\nModels. Each design includes two primary functions: a power\nfunction, which computes power given a specified sample size;\nand a sample size function, which computes the required sample\nsize to achieve a specified power. 16) Weibull Illness-Death\nmodel with or without shared frailty between transitions.\nLeft-truncated and right-censored data are allowed. 17) Weibull\nCompeting risks model with or without shared frailty between\nthe transitions. Left-truncated and right-censored data are\nallowed. Moreover, the package can be used with its shiny\napplication, in a local mode or by following the link below.", "License": "GPL (>= 2.0)", "URL": "https://virginie1rondeau.wixsite.com/virginierondeau/software-frailtypack\nhttps://frailtypack-pkg.shinyapps.io/shiny_frailtypack/", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyLoad": "no", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-22 06:29:27 UTC", "User": "root" }, "RoxygenNote": "7.3.3", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-11-22 23:30:02 UTC", "RemoteUrl": "https://github.com/cran/frailtypack", "RemoteRef": "HEAD", "RemoteSha": "44379eb6283166f39be814b9fe733ce22362cc4a", "MD5sum": "ee9892455e0462d67bbc19063058dfd7", "_user": "cran", "_type": "src", "_file": "frailtypack_3.8.0.tar.gz", "_fileid": "06e837736eaf14a779dd5d3a3029147ca9b902c10fd0e69e97bb1d38bcb6d664", "_filesize": 6182563, "_sha256": "06e837736eaf14a779dd5d3a3029147ca9b902c10fd0e69e97bb1d38bcb6d664", "_created": "2026-05-22T06:29:27.000Z", "_published": "2026-05-22T06:38:10.789Z", "_distro": "noble", "_jobs": [ { "job": 77328469913, "time": 349, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7154280679" }, { "job": 77328469912, "time": 358, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7154282403" }, { "job": 77328469922, "time": 334, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7154279346" }, { "job": 77328469928, "time": 355, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7154281867" }, { "job": 77327666821, "time": 410, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7154191583" }, { "job": 77328469880, "time": 224, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7154248260" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26272063955", "_status": "success", "_host": "GitHub-Actions", "_upstream": 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