{ "_id": "6a47890b6527f6f71fa0d36d", "Package": "landmaRk", "Title": "Time-to-Event Landmark Analysis using an Array of Longitudinal\nand Survival Sub-Models", "Version": "0.1.2.9000", "Authors@R": "c(\nperson(\"Victor\", \"Velasco-Pardo\", , \"vvelasco@ed.ac.uk\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-7166-1573\")),\nperson(\"Nathan\", \"Constantine-Cooke\", , \"nathan.constantine-cooke@ed.ac.uk\",\nrole = \"aut\", comment = c(ORCID = \"0000-0002-4437-8713\")),\nperson(\"Charlie\", \"Lees\", , \"charlie.lees@ed.ac.uk\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-0732-8215\")),\nperson(\"Catalina\", \"Vallejos\", , \"catalina.vallejos@ed.ac.uk\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-3638-1960\"))\n)", "Description": "Provides a modular end-to-end framework for dynamic risk\nprediction based on time-to-event and longitudinal data. This\nallows flexible specifications for the longitudinal and\nsurvival sub-models. The 'landmaRk' package enables\nreproducible benchmarks of different model choices, including\ncross-validation to assess out-of-sample predictive\nperformance. Methods are described in Velasco-Pardo,\nConstantine-Cooke, Lees and Vallejos (2026, manuscript under\npreparation) 'Landmarking with Latent Class Mixed Models for\nDynamic Prediction of Time-to-event Data with Heterogeneous\nBiomarker Trajectories'.", "License": "GPL (>= 3)", "BugReports": "https://github.com/VallejosGroup/landmaRk/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/testthat/parallel": "true", "LazyData": "true", "VignetteBuilder": "knitr", "URL": "https://vallejosgroup.github.io/landmaRk/,\nhttps://github.com/VallejosGroup/landmaRk", "Language": "en-GB", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev", "Repository": "https://nathansam.r-universe.dev", "Date/Publication": "2026-07-01 15:51:04 UTC", "RemoteUrl": "https://github.com/VallejosGroup/landmaRk", "RemoteRef": "HEAD", "RemoteSha": "1dc3941c5bf73f26ee32cd6269c88426a063eb84", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-01 17:18:33 UTC", "User": "root" }, "Author": "Victor Velasco-Pardo [aut, cre] (ORCID:\n),\nNathan Constantine-Cooke [aut] (ORCID:\n),\nCharlie Lees [aut] (ORCID: ),\nCatalina Vallejos [aut] (ORCID:\n)", "Maintainer": "Victor Velasco-Pardo ", "_user": "nathansam", "_type": "src", "_file": "landmaRk_0.1.2.9000.tar.gz", "_fileid": "https://r2.ropensci.org/bab21dde0d61bacbacc2188b8d3d8071700777b49acb0120bb37bbb6663224d0", "_filesize": 547118, "_sha256": "bab21dde0d61bacbacc2188b8d3d8071700777b49acb0120bb37bbb6663224d0", "_expires": "2026-10-11T10:03:55.000Z", "_created": "2026-07-01T17:18:33.000Z", "_published": "2026-07-03T10:03:55.938Z", "_jobs": [ { "job": 84976648732, "time": 226, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8017641128" }, { "job": 84976648404, "time": 286, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8017664216" }, { "job": 84976648593, "time": 151, "config": "macos-oldrel-arm64", "r": 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"1dc3941c5bf73f26ee32cd6269c88426a063eb84", "author": "Víctor Velasco-Pardo ", "committer": "GitHub ", "message": "Multiple dynamic covariates (#196)\n\n* Closes #193\n\n* Fixes new implementation of locf\n\n* Remove timeROC from DESCRIPTION as no longer in use\n\n* Release to CRAN\n\n* Visible binding\n\n* Release to CRAN\n\n* Replace timeROC with riskRegression also in tests\n\n* Replace timeROC with riskRegression also in tests\n\n* Update WORDLIST\n\n* .\n\n* Closes #195\n\n* Closes #195.\n\n* Trigger PR diff update\n\n---------\n\nCo-authored-by: Nathan Constantine-Cooke ", "time": 1782921064 }, "_maintainer": { "name": "Victor Velasco-Pardo", "email": "vvelasco@ed.ac.uk", "login": "victorvelasco", "description": "Statistician", "uuid": 11944094, "orcid": "0000-0002-7166-1573" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "survival", "role": "Depends" }, { "package": "dplyr", "role": 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