{ "_id": "6ac37232f951d008e9987fc8", "Package": "AdaSampling", "Type": "Package", "Title": "Adaptive Sampling for Positive Unlabeled and Label Noise\nLearning", "Version": "1.3", "Author": "Pengyi Yang", "Maintainer": "Pengyi Yang ", "Description": "Implements the adaptive sampling procedure, a framework\nfor both positive unlabeled learning and learning with class\nlabel noise. Yang, P., Ormerod, J., Liu, W., Ma, C., Zomaya,\nA., Yang, J. (2018) .", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "BugReports": "https://github.com/PengyiYang/AdaSampling/issues", "VignetteBuilder": "knitr", "URL": "https://github.com/PengyiYang/AdaSampling/", "RoxygenNote": "6.1.1", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://pyanglab.r-universe.dev", "Date/Publication": "2019-05-22 06:15:48 UTC", "RemoteUrl": "https://github.com/pyanglab/adasampling", "RemoteRef": "HEAD", "RemoteSha": "c815f1bf8df852685f8199996123fe296c95cdc6", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-05 09:43:54 UTC", "User": "root" }, "_user": "pyanglab", "_type": "src", "_file": "AdaSampling_1.3.tar.gz", "_fileid": "https://r2.ropensci.org/2cb90a58fc7e807f934a2cc9ab2f2d3590af1fed857c389acc8e83e78d214892", "_filesize": 127590, "_sha256": "2cb90a58fc7e807f934a2cc9ab2f2d3590af1fed857c389acc8e83e78d214892", "_expires": "2027-01-13T09:47:27.000Z", "_created": "2026-10-05T09:43:54.000Z", "_published": "2026-10-05T09:47:29.925Z", "_jobs": [ { "job": 111704361321, "time": 166, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11336558271" }, { "job": 111704361309, "time": 169, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11337102070" }, { "job": 111704361220, "time": 112, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11337520380" }, { "job": 111704361302, "time": 108, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11337086397" }, { "job": 111703133047, "time": 209, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11337415602" }, { "job": 111704361201, "time": 102, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11337052040" }, { "job": 111704361457, "time": 122, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11337182764" }, { "job": 111704361300, "time": 130, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11337032069" }, { "job": 111704361408, "time": 113, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11337121716" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504", "_status": "success", "_upstream": "https://github.com/pyanglab/adasampling", "_commit": { "id": "c815f1bf8df852685f8199996123fe296c95cdc6", "author": "Pengyi Yang ", "committer": "Pengyi Yang ", "message": "update\n", "time": 1558505748 }, "_maintainer": { "name": "Pengyi Yang", "email": "yangpy7@gmail.com", "login": "pyanglab", "description": "A central repository for projects of the Computational Systems Biology (CSB) group.", "uuid": 10148940 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.4.0", "role": "Depends" }, { "package": "caret", "version": ">= 6.0-78", "role": "Imports" }, { "package": "class", "version": ">= 7.3-14", "role": "Imports" }, { "package": "e1071", "version": ">= 1.6-8", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "pyanglab", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 10, "_contributors": [ { "user": "pengyiyang", "count": 15, "uuid": 90130745 }, { "user": "pyanglab", "count": 9, "uuid": 10148940 }, { "user": "dinukap", "count": 3, "uuid": 30517310 } ], "_userbio": { "uuid": 10148940, "type": "user", "name": "CSB Yang Laboratory", "followers": 73, "description": "A central repository for projects of the Computational Systems Biology (CSB) group." }, "_downloads": { "count": 538, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/AdaSampling" }, "_mentions": 1, "_devurl": "https://github.com/pengyiyang/adasampling", "_searchresults": 13, "_rbuild": "4.6.1", "_assets": [ "extra/AdaSampling.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/readme.html", "extra/readme.md" ], "_homeurl": "https://github.com/pyanglab/adasampling", "_realowner": "pyanglab", "_cranurl": true, "_releases": [ { "version": "1.0", "date": "2018-06-04" }, { "version": "1.1", "date": "2018-06-27" }, { "version": "1.3", "date": "2019-05-21" } ], "_exports": [ "adaSample", "adaSvmBenchmark", "singleIter", "weightedKNN" ], "_datasets": [ { "name": "brca", "title": "Wisconsin Breast Cancer Database (1991)", "object": "brca", "class": [ "data.frame" ], "fields": [ "clt", "ucs", "uch", "mad", "ecs", "nuc", "chr", "ncl", "mit", "cla" ], "rows": 683, "table": true, "tojson": true } ], "_help": [ { "page": "adaSample", "title": "Implementation of AdaSampling for positive unlabelled and label noise learning.", "topics": [ "adaSample" ] }, { "page": "adaSvmBenchmark", "title": "Benchmarking AdaSampling efficacy on noisy labelled data.", "topics": [ "adaSvmBenchmark" ] }, { "page": "brca", "title": "Wisconsin Breast Cancer Database (1991)", "topics": [ "brca" ] }, { "page": "singleIter", "title": "'singleIter()' applies a single iteraction of AdaSampling procedure. It returns the probabilities of all samples as being a positive (P) or negative (N) instance, as a two column data frame.", "topics": [ "singleIter" ] }, { "page": "weightedKNN", "title": "Implementation of a feature weighted k-nearest neighbour classifier.", "topics": [ "weightedKNN" ] } ], "_readme": "https://github.com/pyanglab/adasampling/raw/HEAD/README.md", "_rundeps": [ "caret", "class", "cli", "clock", "codetools", "cpp11", "data.table", "diagram", "digest", "dplyr", "e1071", "farver", "foreach", "future", "future.apply", "generics", "ggplot2", "globals", "glue", "gower", "gtable", "hardhat", "ipred", "isoband", "iterators", "KernSmooth", "labeling", "lattice", "lava", "lifecycle", "listenv", "lubridate", "magrittr", "MASS", "Matrix", "ModelMetrics", "nlme", "nnet", "numDeriv", "parallelly", "pillar", "pkgconfig", "plyr", "pROC", "prodlim", "progressr", "proxy", "purrr", "R6", "RColorBrewer", "Rcpp", "recipes", "reshape2", "rlang", "rpart", "S7", "scales", "shape", "sparsevctrs", "SQUAREM", "stringi", "stringr", "survival", "tibble", "tidyr", "tidyselect", "timechange", "timeDate", "tzdb", "utf8", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "vignette.Rmd", "filename": "vignette.html", "title": "Breast cancer classification with AdaSampling", "author": "Pengyi Yang (original version by Dinuka Perera)", "engine": "knitr::rmarkdown", "headings": [], "created": "2018-05-31 02:47:57", "modified": "2018-06-10 08:23:35", "commits": 2 } ], "_score": 5.113943352306837, "_indexed": true, "_nocasepkg": "adasampling", "_universes": [ "pyanglab", "pengyiyang" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.3", "date": "2026-10-05T09:46:08.000Z", "distro": "resolute", "commit": "c815f1bf8df852685f8199996123fe296c95cdc6", "fileid": "https://r2.ropensci.org/c8f0b55c9dc7afa3721bb196b5d95d21c7364d0fccca89a356c42c651c0df526", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504" }, { "r": "4.6.1", "os": "linux", "version": "1.3", "date": "2026-10-05T09:46:08.000Z", "distro": "resolute", "commit": "c815f1bf8df852685f8199996123fe296c95cdc6", "fileid": "https://r2.ropensci.org/981d270701fc46cdd1c3b40ae2c7195ae81f9fd8cbf7c9017a01cc087fcd2077", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504" }, { "r": "4.5.3", "os": "mac", "version": "1.3", "date": "2026-10-05T09:45:32.000Z", "commit": "c815f1bf8df852685f8199996123fe296c95cdc6", "fileid": "https://r2.ropensci.org/8a214b4f5f58c46cf4ebbbdb1a9426970f3c0b72a9e4c5f89588134e61def35f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504" }, { "r": "4.6.1", "os": "mac", "version": "1.3", "date": "2026-10-05T09:45:32.000Z", "commit": "c815f1bf8df852685f8199996123fe296c95cdc6", "fileid": "https://r2.ropensci.org/fb59eb3955e1723cf2fbc2839cbc64e2ca0f05347ff44785d98bb77c187dccd2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504" }, { "r": "4.6.0", "os": "wasm", "version": "1.3", "date": "2026-10-05T09:45:55.000Z", "commit": "c815f1bf8df852685f8199996123fe296c95cdc6", "fileid": "https://r2.ropensci.org/1d2ba035bd7deb00d4d552a627e05159d9f234858c6e55ba2fe4b46d3e3076e1", "status": "success", "buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504" }, { "r": "4.7.0", "os": "win", "version": "1.3", "date": "2026-10-05T09:45:18.000Z", "commit": "c815f1bf8df852685f8199996123fe296c95cdc6", "fileid": "https://r2.ropensci.org/66401317d790f9d7faaa6f6bded1a57a4d1e4bc4877913cee3f3fea79a54b43f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504" }, { "r": "4.5.3", "os": "win", "version": "1.3", "date": "2026-10-05T09:45:21.000Z", "commit": "c815f1bf8df852685f8199996123fe296c95cdc6", "fileid": "https://r2.ropensci.org/32cafb5b82a64a86b1ecf84c08b1c0d082379e81010fe856afd3a28d0986fef2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504" }, { "r": "4.6.1", "os": "win", "version": "1.3", "date": "2026-10-05T09:45:09.000Z", "commit": "c815f1bf8df852685f8199996123fe296c95cdc6", "fileid": "https://r2.ropensci.org/2fc5cad7b062e40ce4d0ac3c1e4b1d66b3635149e1cb638671d6079fa55f3977", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pyanglab/actions/runs/37291596504" } ] }