{ "_id": "6aefa80043b51afa49dd9988", "Package": "hetNSC", "Type": "Package", "Title": "Heteroscedastic Nearest Shrunken Centroid Classification", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Haiyan\", \"Wang\", email = \"hwang@ksu.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Mohammad Omar\", \"Sahtout\", role = \"aut\"),\nperson(\"Trevor\", \"Hastie\", role = \"ctb\",\ncomment = \"Author of the 'pamr' code this package is derived from\"),\nperson(\"Robert\", \"Tibshirani\", role = \"ctb\",\ncomment = \"Author of the 'pamr' code this package is derived from\"),\nperson(\"Balasubramanian\", \"Narasimhan\", role = \"ctb\",\ncomment = \"Author of the 'pamr' code this package is derived from\"),\nperson(\"Gilbert\", \"Chu\", role = \"ctb\",\ncomment = \"Author of the 'pamr' code this package is derived from\"))", "Description": "Nearest shrunken centroid (NSC) classifiers for\nhigh-dimensional, low-sample-size data such as gene expression.\nImplements the original homoscedastic NSC with soft\nthresholding (Prediction Analysis of Microarrays; Tibshirani et\nal. 2002 ), its hard- and\norder-thresholding versions (Sahtout, Wang and Ghimire 2024\n), and the heteroscedastic\nextension of Sahtout and Wang that uses class-specific\nvariances in both the test statistic and the discriminant\nfunction (methods STh3, HTh3 and OTh3). The thresholding\nparameter is selected by a refined (\"deep\") cross-validation\nsearch. Also provides the simulation design, per-class\nperformance metrics and the relative-heterogeneity diagnostic\nused in the paper.", "License": "GPL-2", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "RoxygenNote": "7.3.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-11-07 22:34:19 UTC", "User": "root" }, "Author": "Haiyan Wang [aut, cre], Mohammad Omar Sahtout [aut], Trevor\nHastie [ctb] (Author of the 'pamr' code this package is derived\nfrom), Robert Tibshirani [ctb] (Author of the 'pamr' code this\npackage is derived from), Balasubramanian Narasimhan [ctb]\n(Author of the 'pamr' code this package is derived from),\nGilbert Chu [ctb] (Author of the 'pamr' code this package is\nderived from)", "Maintainer": "Haiyan Wang ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-11-07 21:00:37 UTC", "RemoteUrl": "https://github.com/cran/hetNSC", "RemoteRef": "HEAD", "RemoteSha": "4f40de6124a32cad636fff3c87cdf40067e7d0a8", "_user": "cran", "_type": "src", "_file": "hetNSC_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/6cba9fb2e854a06904cb4cf91ff2b93e9572cac16cde9a3f4b16d10e58fcd4c4", "_filesize": 228171, "_sha256": "6cba9fb2e854a06904cb4cf91ff2b93e9572cac16cde9a3f4b16d10e58fcd4c4", "_expires": "2027-02-15T22:36:46.000Z", "_created": "2026-11-07T22:34:19.000Z", "_published": "2026-11-07T22:36:48.581Z", "_upstream": "https://github.com/cran/hetNSC", "_status": "success", "_maintainer": { "name": "Haiyan Wang", "email": "hwang@ksu.edu", "login": "hwanggit", "description": "Professor of Statistics, Kansas State University, Manhattan, KS 66506", "uuid": 229197672 }, "_jobs": [ { "job": 128549978386, "time": 105, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "13594180737" }, { "job": 128549978312, "time": 111, "config": "linux-release-x86_64", "r": "4.6.2", "check": "OK", "artifact": "13593183256" }, { "job": 128549236871, "time": 186, "config": "source", "r": "4.6.2", "check": "OK", "artifact": "13593532111" }, { "job": 128549978361, "time": 92, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "13593825996" }, { "job": 128549978336, "time": 71, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "13593099840" }, { "job": 128549978366, "time": 60, "config": "windows-release-x86_64", "r": "4.6.2", "check": "OK", "artifact": "13594170654" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/42420987815", "_commit": { "id": "4f40de6124a32cad636fff3c87cdf40067e7d0a8", "author": "Haiyan Wang ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1794085237 }, "_distro": "resolute", "_host": "GitHub-Actions", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "MASS", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "pamr", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-45", "n": 1 } ], "_tags": [ { "name": "0.1.0", "date": "2026-11-07" } ], "_stars": 0, "_contributors": [ { "user": "hwanggit", "count": 1, "uuid": 229197672 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 636, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/hetNSC" }, "_searchresults": 4, "_rbuild": "4.6.2", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/hetNSC.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md" ], "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2026-11-07" } ], "_exports": [ "balanced_acc", "balanced_folds", "compare_nsc", "compute_rho2", "hnsc", "hnsc_cv", "hnsc_methods", "hnsc_select", "hnsc_train", "make_cm", "per_class_recall", "recall_table", "simulate_hetero_data" ], "_help": [ { "page": "balanced_folds", "title": "Class-balanced cross-validation folds", "topics": [ "balanced_folds" ] }, { "page": "compare_nsc", "title": "Compare homoscedastic and heteroscedastic NSC classifiers on one dataset", "topics": [ "compare_nsc" ] }, { "page": "compute_rho2", "title": "Empirical relative heterogeneity rho_k^2 and the crossover condition", "topics": [ "compute_rho2" ] }, { "page": "hnsc", "title": "Fit a nearest shrunken centroid classifier with the threshold chosen by cross-validation", "topics": [ "hnsc" ] }, { "page": "hnsc_cv", "title": "Cross-validation for a fitted NSC classifier", "topics": [ "hnsc_cv" ] }, { "page": "hnsc_methods", "title": "The six nearest shrunken centroid classifiers", "topics": [ "hnsc_methods" ] }, { "page": "hnsc_select", "title": "Choose the threshold by refined (\"deep\") cross-validation", "topics": [ "hnsc_select" ] }, { "page": "hnsc_train", "title": "Train a nearest shrunken centroid classifier over a grid of thresholds", "topics": [ "hnsc_train" ] }, { "page": "make_cm", "title": "Confusion matrix, per-class recall and balanced accuracy", "topics": [ "balanced_acc", "make_cm", "per_class_recall" ] }, { "page": "predict.hnsc", "title": "Predict with a nearest shrunken centroid classifier", "topics": [ "predict.hnsc" ] }, { "page": "simulate_hetero_data", "title": "Simulate two-class data with correlated informative genes", "topics": [ "simulate_hetero_data" ] }, { "page": "summary.hnsc_comparison", "title": "Summaries of a classifier comparison", "topics": [ "recall_table", "summary.hnsc_comparison" ] } ], "_readme": "https://github.com/cran/hetNSC/raw/HEAD/README.md", "_rundeps": [ "MASS" ], "_vignettes": [ { "source": "hetNSC.Rmd", "filename": "hetNSC.html", "title": "Getting started with hetNSC", "engine": "knitr::rmarkdown", "headings": [ "Data layout", "Fit and predict", "Step by step", "Repeated-run comparison" ], "created": "2026-11-07 21:00:37", "modified": "2026-11-07 21:00:37", "commits": 1 } ], "_score": 2.6989700043360187, "_indexed": true, "_nocasepkg": "hetnsc", "_universes": [ "cran", "hwanggit" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-11-07T22:36:08.000Z", "distro": "resolute", "commit": "4f40de6124a32cad636fff3c87cdf40067e7d0a8", "fileid": "https://r2.ropensci.org/4d4e59a3516366b38a030be8ef668899573580242e203190f648dbfd11cf89ac", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/42420987815" }, { "r": "4.6.2", "os": "linux", "version": "0.1.0", "date": "2026-11-07T22:36:12.000Z", "distro": "resolute", "commit": "4f40de6124a32cad636fff3c87cdf40067e7d0a8", "fileid": "https://r2.ropensci.org/8a9c79ce445b59cf697b746d6e34a366590970a573cb0f566258a454a2812695", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/42420987815" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-11-07T22:36:09.000Z", "commit": "4f40de6124a32cad636fff3c87cdf40067e7d0a8", "fileid": "https://r2.ropensci.org/f82dffbb2f00362a7a401818a0db2dd08135fab042ed0c8577a300c02711a97f", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/42420987815" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-11-07T22:35:26.000Z", "commit": "4f40de6124a32cad636fff3c87cdf40067e7d0a8", "fileid": "https://r2.ropensci.org/dfb7837d333573e0754536d53a94591cebf0ecdf55d9fbb5c01bd33432f20faa", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/42420987815" }, { "r": "4.6.2", "os": "win", "version": "0.1.0", "date": "2026-11-07T22:35:23.000Z", "commit": "4f40de6124a32cad636fff3c87cdf40067e7d0a8", "fileid": "https://r2.ropensci.org/745ca17bc6dbcf101711b9cb9132900789c01e0d58c8718e01b8526117463f7f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/42420987815" } ] }