{ "_id": "6a1fd38ab401979e73435f54", "Package": "PAmeasures", "Type": "Package", "Title": "Prediction and Accuracy Measures for Nonlinear Models and for\nRight-Censored Time-to-Event Data", "Version": "0.1.0", "Date": "2018-01-18", "Author": "Xiaoyan Wang, Gang Li", "Maintainer": "Xiaoyan Wang", "Description": "We propose a pair of summary measures for the predictive\npower of a prediction function based on a regression model. The\nregression model can be linear or nonlinear, parametric,\nsemi-parametric, or nonparametric, and correctly specified or\nmis-specified. The first measure, R-squared, is an extension of\nthe classical R-squared statistic for a linear model,\nquantifying the prediction function's ability to capture the\nvariability of the response. The second measure, L-squared,\nquantifies the prediction function's bias for predicting the\nmean regression function. When used together, they give a\ncomplete summary of the predictive power of a prediction\nfunction. Please refer to Gang Li and Xiaoyan Wang (2016)\n for more details.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "6.0.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 07:08:36 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2018-01-22 09:06:41 UTC", "RemoteUrl": "https://github.com/cran/PAmeasures", "RemoteRef": "HEAD", "RemoteSha": "d73a4eec65840ac5cf589245c0fd84b597124aff", "MD5sum": "665f80a7f6129141ca87eb5f00280035", "_user": "cran", "_type": "src", "_file": "PAmeasures_0.1.0.tar.gz", "_fileid": "42a03665e563f014a907c7a9f6ad0098e5f0cce252bb645ce1f2aa794fd941f9", "_filesize": 100681, "_sha256": "42a03665e563f014a907c7a9f6ad0098e5f0cce252bb645ce1f2aa794fd941f9", "_created": "2026-06-03T07:08:36.000Z", "_published": "2026-06-03T07:11:06.819Z", "_distro": "noble", "_jobs": [ { "job": 79240579150, "time": 119, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7377965119" }, { "job": 79240579044, "time": 117, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7377964516" }, { "job": 79240212642, "time": 157, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7377930948" }, { "job": 79240579060, "time": 91, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7377956473" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26869240985", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/PAmeasures", "_commit": { "id": "d73a4eec65840ac5cf589245c0fd84b597124aff", "author": "Xiaoyan Wang ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1516612001 }, "_maintainer": { "name": "Xiaoyan Wang", "email": "xywang@ucla.edu" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.1", "role": "Depends" }, { "package": "survival", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 52, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PAmeasures" }, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/PAmeasures.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2018-01-22" } ], "_exports": [ "pam.censor", "pam.coxph", "pam.nlm", "pam.survreg" ], "_datasets": [ { "name": "moore", "title": "Moore's Law data", "object": "moore", "class": [ "data.frame" ], "fields": [ "year", "time", "count" ], "rows": 48, "table": true, "tojson": true } ], "_help": [ { "page": "moore", "title": "Moore's Law data", "topics": [ "moore" ] }, { "page": "pam.censor", "title": "Prediction Accuracy Measures for Regression Models of Right-Censored Data", "topics": [ "pam.censor" ] }, { "page": "pam.coxph", "title": "Prediction Accuracy Measures for Cox proportional hazards model", "topics": [ "pam.coxph" ] }, { "page": "pam.nlm", "title": "Prediction Accuracy Measures for Nonlinear Regression Models.", "topics": [ "pam.nlm" ] }, { "page": "pam.survreg", "title": "Prediction Accuracy Measures for Parametric Survival Regression Models", "topics": [ "pam.survreg" ] } ], "_rundeps": [ "lattice", "Matrix", "survival" ], "_score": 1, "_indexed": true, "_nocasepkg": "pameasures", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-06-03T07:10:28.000Z", "distro": "noble", "commit": "d73a4eec65840ac5cf589245c0fd84b597124aff", "fileid": "91a0aff4c156c1098d5ff66be5265f82b73148b81689c95ab2c61d1cd619c49b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26869240985" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-06-03T07:10:26.000Z", "distro": "noble", "commit": "d73a4eec65840ac5cf589245c0fd84b597124aff", "fileid": "1b2668d22f85650119fcaa4fe9c691a1d9f9c7c2f461918ac308cdd00a7f6e23", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26869240985" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-06-03T07:10:22.000Z", "commit": "d73a4eec65840ac5cf589245c0fd84b597124aff", "fileid": "0d8d909a29d2a4716881de47d73aba1feb5cdf6792df2c239aae16e1a3c2a3b0", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26869240985" } ] }