{ "_id": "6a192c38acfb0bcc41dcee4d", "Package": "MLEcens", "Version": "0.1-7.1", "Date": "2022-10-18", "Title": "Computation of the MLE for Bivariate Interval Censored Data", "Authors@R": "person(\"Marloes\", \"Maathuis\", role= c(\"aut\", \"cre\"), \nemail= \"marloesmaathuis@gmail.com\")", "Description": "We provide functions to compute the nonparametric maximum\nlikelihood estimator (MLE) for the bivariate distribution of\n(X,Y), when realizations of (X,Y) cannot be observed directly.\nTo be more precise, we consider the situation where we observe\na set of rectangles in R^2 that are known to contain the\nunobservable realizations of (X,Y). We compute the MLE based on\nsuch a set of rectangles. The methods can also be used for\nunivariate censored data (see data set 'cosmesis'), and for\ncensored data with competing risks (see data set 'menopause').\nWe also provide functions to visualize the observed data and\nthe MLE.", "License": "GPL (>= 2)", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-29 06:00:28 UTC", "User": "root" }, "Author": "Marloes Maathuis [aut, cre]", "Maintainer": "Marloes Maathuis ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-09-22 03:01:53 UTC", "RemoteUrl": "https://github.com/cran/MLEcens", "RemoteRef": "HEAD", "RemoteSha": "ccc55ee7e3b6d8f20663807e2c77c58f86b862ac", "MD5sum": "ee4471829d159f66353becc14ccffb9b", "_user": "cran", "_type": "src", "_file": "MLEcens_0.1-7.1.tar.gz", "_fileid": "f6ac351d57ff374e845e465941399631e8ba1d9510838576847b978fb8cfff8f", "_filesize": 220434, "_sha256": "f6ac351d57ff374e845e465941399631e8ba1d9510838576847b978fb8cfff8f", "_created": "2026-05-29T06:00:28.000Z", "_published": "2026-05-29T06:03:36.846Z", "_distro": "noble", "_jobs": [ { "job": 78446604606, "time": 120, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7284155855" }, { "job": 78446604578, "time": 156, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7284163722" }, { "job": 78446604593, "time": 97, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7284150824" }, { "job": 78446604600, "time": 132, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7284158418" }, { "job": 78446399320, "time": 102, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7284128672" }, { "job": 78446604559, "time": 102, "config": "wasm-release", "r": "4.6.0", "check": "FAIL", "artifact": "" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26620907082", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/MLEcens", "_commit": { "id": "ccc55ee7e3b6d8f20663807e2c77c58f86b862ac", "author": "Marloes Maathuis ", "committer": "cran-robot ", "message": "version 0.1-7.1\n", "time": 1726974113 }, "_maintainer": { "name": "Marloes Maathuis", "email": "marloesmaathuis@gmail.com" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" } ], "_owner": "cran", "_selfowned": false, "_usedby": 29, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 8667, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MLEcens" }, "_mentions": 1, "_searchresults": 21, "_topics": [ "openblas" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/MLEcens.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1-0", "date": "2007-08-01" }, { "version": "0.1-1", "date": "2007-08-04" }, { "version": "0.1-2", "date": "2007-08-07" }, { "version": "0.1-3", "date": "2010-04-15" }, { "version": "0.1-4", "date": "2013-04-02" }, { "version": "0.1-5", "date": "2022-03-31" }, { "version": "0.1-7", "date": "2022-10-18" }, { "version": "0.1-7.1", "date": "2024-09-21" } ], "_exports": [ "canon2real", "computeMLE", "plotCDF1", "plotCDF2", "plotCM", "plotDens1", "plotDens2", "plotHM", "plotRects", "real2canon", "reduc" ], "_datasets": [ { "name": "actg181", "title": "Data from the Aids Clinical Trials Group protocol ACTG 181", "object": "actg181", "file": "actg181.rda", "class": [ "matrix", "array" ], "fields": [ "x1", "x2", "y1", "y2" ], "rows": 204, "table": true, "tojson": true }, { "name": "actg181Mod", "title": "Modified data from the Aids Clinical Trials Group protocol ACTG 181", "object": "actg181Mod", "file": "actg181Mod.rda", "class": [ "matrix", "array" ], "fields": [ "x1", "x2", "y1", "y2" ], "rows": 204, "table": true, "tojson": true }, { "name": "cosmesis", "title": "Breast cosmesis data", "object": "cosmesis", "file": "cosmesis.rda", "class": [ "matrix", "array" ], "fields": [ "x1", "x2", "tr" ], "rows": 94, "table": true, "tojson": true }, { "name": "ex", "title": "Example data set (artificial)", "object": "ex", "file": "ex.rda", "class": [ "matrix", "array" ], "fields": [ "x1", "x2", "y1", "y2" ], "rows": 6, "table": true, "tojson": true }, { "name": "menopause", "title": "Menopause data", "object": "menopause", "file": "menopause.rda", "class": [ "matrix", "array" ], "fields": [ "x1", "x2", "y1", "y2" ], "rows": 2423, "table": true, "tojson": true }, { "name": "menopauseMod", "title": "Modified menopause data", "object": "menopauseMod", "file": "menopauseMod.rda", "class": [ "matrix", "array" ], "fields": [ "x1", "x2", "y1", "y2" ], "rows": 2423, "table": true, "tojson": true } ], "_help": [ { "page": "actg181", "title": "Data from the Aids Clinical Trials Group protocol ACTG 181", "concept": [ "censored data" ], "topics": [ "actg181" ] }, { "page": "actg181Mod", "title": "Modified data from the Aids Clinical Trials Group protocol ACTG 181", "concept": [ "censored data" ], "topics": [ "actg181Mod" ] }, { "page": "canon2real", "title": "Transform (intersections of) canonical rectangles back to their original coordinates", "concept": [ "nonparametric maximum likelihood estimator", "censored data" ], "topics": [ "canon2real" ] }, { "page": "computeMLE", "title": "Compute the MLE for bivariate censored data", "concept": [ "nonparametric maximum likelihood estimator", "censored data" ], "topics": [ "computeMLE" ] }, { "page": "cosmesis", "title": "Breast cosmesis data", "concept": [ "censored data" ], "topics": [ "cosmesis" ] }, { "page": "ex", "title": "Example data set (artificial)", "concept": [ "censored data" ], "topics": [ "ex" ] }, { "page": "menopause", "title": "Menopause data", "concept": [ "censored data", "competing risk" ], "topics": [ "menopause" ] }, { "page": "menopauseMod", "title": "Modified menopause data", "concept": [ "censored data", "competing risk" ], "topics": [ "menopauseMod" ] }, { "page": "plotCDF1", "title": "Create a marginal CDF (or survival function) plot of the MLE", "concept": [ "nonparametric maximum likelihood estimator", "censored data" ], "topics": [ "plotCDF1" ] }, { "page": "plotCDF2", "title": "Create a bivariate CDF (or survival function) plot of the MLE", "concept": [ "nonparametric maximum likelihood estimator", "censored data" ], "topics": [ "plotCDF2" ] }, { "page": "plotCM", "title": "Plot a clique matrix", "concept": [ "nonparametric maximum likelihood estimator", "censored data", "parameter reduction", "clique matrix" ], "topics": [ "plotCM" ] }, { "page": "plotDens1", "title": "Create a univariate density plot of the MLE", "concept": [ "nonparametric maximum likelihood estimator", "censored data" ], "topics": [ "plotDens1" ] }, { "page": "plotDens2", "title": "Create a bivariate density plot of the MLE", "concept": [ "nonparametric maximum likelihood estimator", "censored data" ], "topics": [ "plotDens2" ] }, { "page": "plotHM", "title": "Plot a height map", "concept": [ "nonparametric maximum likelihood estimator", "censored data", "parameter reduction" ], "topics": [ "plotHM" ] }, { "page": "plotRects", "title": "Plot a set of rectangles", "concept": [ "nonparametric maximum likelihood estimator", "censored data" ], "topics": [ "plotRects" ] }, { "page": "real2canon", "title": "Transform a set of rectangles into canonical rectangles", "concept": [ "nonparametric maximum likelihood estimator", "censored data" ], "topics": [ "real2canon" ] }, { "page": "reduc", "title": "Determine areas of possible mass support of the MLE", "concept": [ "nonparametric maximum likelihood estimator", "censored data", "parameter reduction" ], "topics": [ "reduc" ] } ], "_rundeps": [], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", 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