{ "_id": "6a10206aacfb0bcc41c8b969", "Package": "survivalmodels", "Title": "Models for Survival Analysis", "Version": "0.1.19", "Authors@R": "c(person(given = \"Raphael\",\nfamily = \"Sonabend\",\nrole = c(\"aut\", \"cre\"),\nemail = \"raphaelsonabend@gmail.com\",\ncomment = c(ORCID = \"0000-0001-9225-4654\")),\nperson(given = \"John\",\nfamily = \"Zobolas\",\nrole = c(\"aut\"),\nemail = \"bblodfon@gmail.com\",\ncomment = c(ORCID = \"0000-0002-3609-8674\")))", "Description": "Implementations of classical and machine learning models\nfor survival analysis, including deep neural networks via\n'keras' and 'tensorflow'. Each model includes a separated fit\nand predict interface with consistent prediction types for\npredicting risk, survival probabilities, or survival\ndistributions with 'distr6'\n. Models are either\nimplemented from 'Python' via 'reticulate'\n, from code in\nGitHub packages, or novel implementations using 'Rcpp'\n. Novel machine\nlearning survival models wil be included in the package in\nnear-future updates. Neural networks are implemented from the\n'Python' package 'pycox' and\nare detailed by Kvamme et al. (2019)\n. The 'Akritas'\nestimator is defined in Akritas (1994)\n. 'DNNSurv' is defined in Zhao and\nFeng (2020) .", "License": "MIT + file LICENSE", "URL": "https://github.com/RaphaelS1/survivalmodels/", "BugReports": "https://github.com/RaphaelS1/survivalmodels/issues", "Remotes": [ "xoopR/distr6", "xoopR/param6", "xoopR/set6" ], "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "Repository": "https://raphaels1.r-universe.dev", "Date/Publication": "2024-07-01 08:40:40 UTC", "RemoteUrl": "https://github.com/RaphaelS1/survivalmodels", "RemoteRef": "HEAD", "RemoteSha": "e7af58c7d8aec9f253bfed9f3814308ba2952e43", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-14 06:12:25 UTC", "User": "root" }, "Author": "Raphael Sonabend [aut, cre] (ORCID:\n),\nJohn Zobolas [aut] (ORCID: )", "Maintainer": "Raphael Sonabend ", "MD5sum": "552e66a1e41e56af25abf8ad82322827", "_user": "raphaels1", "_type": "src", "_file": "survivalmodels_0.1.19.tar.gz", "_fileid": "184c10e7f85c925f81d3130acf8a898263a24237e4a601a9ee2827bd76cfecfe", "_filesize": 287206, "_sha256": "184c10e7f85c925f81d3130acf8a898263a24237e4a601a9ee2827bd76cfecfe", "_created": "2026-05-14T06:12:25.000Z", "_published": "2026-05-22T09:22:50.530Z", "_distro": "noble", "_jobs": [ { "job": 77351922914, "time": 180, "config": "linux-devel-arm64", "r": "4.7.0", "check": "NOTE", "artifact": "6988386830" }, { "job": 77351923034, "time": 143, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "6988378649" }, { "job": 77351923566, "time": 156, "config": "linux-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "6988381276" }, { "job": 77351924061, "time": 156, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "6988382720" }, { "job": 77351923193, "time": 115, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "6988372611" }, { "job": 77351923189, "time": 205, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "6988392366" }, { "job": 77351922778, "time": 130, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "6988375777" }, { "job": 77351922749, "time": 218, "config": "macos-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "6988395583" }, { "job": 77351922471, "time": 255, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6988345450" }, { "job": 77351922100, "time": 102, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7157160915" }, { "job": 77351922950, "time": 163, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "6988383226" }, { "job": 77351923223, "time": 202, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "6988391979" }, { "job": 77351922846, "time": 168, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "" } ], "_buildurl": "https://github.com/r-universe/raphaels1/actions/runs/25844859694", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/RaphaelS1/survivalmodels", "_commit": { "id": "e7af58c7d8aec9f253bfed9f3814308ba2952e43", "author": "Raphael Sonabend ", "committer": "GitHub ", "message": "Update README.md", "time": 1719823240 }, "_maintainer": { "name": "Raphael Sonabend", "email": "raphaelsonabend@gmail.com", "login": "raphaels1", "linkedin": "in/raphael-sonabend", "uuid": 25639974, "orcid": "0000-0001-9225-4654" }, "_registered": true, "_dependencies": [ { "package": "Rcpp", "role": "LinkingTo" }, { "package": "Rcpp", "version": ">= 1.0.5", "role": "Imports" }, { "package": "distr6", "version": ">= 1.6.6", "role": "Suggests" }, { "package": "keras", "version": ">= 2.11.0", "role": "Suggests" }, { "package": "param6", "role": "Suggests" }, { "package": "pseudo", "role": "Suggests" }, { "package": "reticulate", "role": "Suggests" }, { "package": "set6", "role": "Suggests" }, { "package": "survival", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "raphaels1", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 59, "_contributors": [ { "user": "raphaels1", "count": 128, "uuid": 25639974 }, { "user": "bblodfon", "count": 14, "uuid": 10909555 }, { "user": "web-flow", "count": 2, "uuid": 19864447 } ], "_userbio": { "uuid": 25639974, "type": "user", "name": "Raphael Sonabend-Friend", "description": "Director and Founder of OSPO Now. You can find my code scattered across orgs: RaphaelS1, mlr-org, and xoopR." }, "_downloads": { "count": 531, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/survivalmodels" }, "_devurl": "https://github.com/raphaels1/survivalmodels", "_searchresults": 69, "_topics": [ "cpp" ], "_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/survivalmodels.html", "manual.pdf" ], "_homeurl": "https://github.com/foucher-y/survivalmodels", "_realowner": "foucher-y", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2020-10-15" }, { "version": "0.1.1", "date": "2020-10-20" }, { "version": "0.1.2", "date": "2020-11-03" }, { "version": "0.1.3", "date": "2020-11-11" }, { "version": "0.1.4", "date": "2020-11-18" }, { "version": "0.1.5", "date": "2021-01-17" }, { "version": "0.1.6", "date": 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Estimator", "topics": [ "akritas" ] }, { "page": "build_keras_net", "title": "Build a Keras Multilayer Perceptron", "topics": [ "build_keras_net" ] }, { "page": "build_pytorch_net", "title": "Build a Pytorch Multilayer Perceptron", "topics": [ "build_pytorch_net" ] }, { "page": "cindex", "title": "Compute Concordance of survivalmodel Risk", "topics": [ "cindex" ] }, { "page": "coxtime", "title": "Cox-Time Survival Neural Network", "topics": [ "coxtime" ] }, { "page": "deephit", "title": "DeepHit Survival Neural Network", "topics": [ "deephit" ] }, { "page": "deepsurv", "title": "DeepSurv Survival Neural Network", "topics": [ "deepsurv" ] }, { "page": "dnnsurv", "title": "DNNSurv Neural Network for Conditional Survival Probabilities", "topics": [ "dnnsurv" ] }, { "page": "get_keras_optimizer", "title": "Get Keras Optimizer", "topics": [ "get_keras_optimizer" ] }, { "page": "get_pycox_activation", "title": "Get Pytorch Activation Function", "topics": [ "get_pycox_activation" ] }, { "page": "get_pycox_callbacks", "title": "Get Torchtuples Callbacks", "topics": [ "get_pycox_callbacks" ] }, { "page": "get_pycox_init", "title": "Get Pytorch Weight Initialization Method", "topics": [ "get_pycox_init" ] }, { "page": "get_pycox_optim", "title": "Get Pytorch Optimizer", "topics": [ "get_pycox_optim" ] }, { "page": "install_keras", "title": "Install Keras and Tensorflow", "topics": [ "install_keras" ] }, { "page": "install_pycox", "title": "Install Pycox With Reticulate", "topics": [ "install_pycox" ] }, { "page": "install_torch", "title": "Install Torch With Reticulate", "topics": [ "install_torch" ] }, { "page": "loghaz", "title": "Logistic-Hazard Survival Neural Network", "topics": [ "loghaz" ] }, { "page": "parametric", "title": "Fully Parametric Survival Model", "topics": [ "parametric" ] }, { "page": "pchazard", "title": "PC-Hazard Survival Neural Network", "topics": [ "pchazard" ] }, { "page": "predict.akritas", "title": "Predict method for Akritas Estimator", 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