{ "_id": "6a17e44bacfb0bcc41da0880", "Package": "vdar", "Type": "Package", "Title": "Discriminant Analysis Incorporating Individual Uncertainties", "Version": "0.1.3-2", "Author": "Solveig Pospiech [aut, cre]", "Maintainer": "Solveig Pospiech ", "Description": "The qda() function from package 'MASS' is extended to\ncalculate a weighted linear (LDA) and quadratic discriminant\nanalysis (QDA) by changing the group variances and group means\nbased on cell-wise uncertainties. The uncertainties can be\nderived e.g. through relative errors for each individual\nmeasurement (cell), not only row-wise or column-wise\nuncertainties. The method can be applied compositional data\n(e.g. portions of substances, concentrations) and\nnon-compositional data.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 06:41:57 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2022-01-04 18:40:02 UTC", "RemoteUrl": "https://github.com/cran/vdar", "RemoteRef": "HEAD", "RemoteSha": "f1e6e9efd550a557f27729ac8234a797070ecd1f", "MD5sum": "a9360e3aec4115b0cfb7df2296ea8820", "_user": "cran", "_type": "src", "_file": "vdar_0.1.3-2.tar.gz", "_fileid": "fbf6afcac4f881916adfb17deb86656f0ef0b0eab55e9f45f0f5832fbc96839b", "_filesize": 149693, "_sha256": "fbf6afcac4f881916adfb17deb86656f0ef0b0eab55e9f45f0f5832fbc96839b", "_created": "2026-05-28T06:41:57.000Z", "_published": "2026-05-28T06:44:27.834Z", "_distro": "noble", "_jobs": [ { "job": 78237777964, "time": 115, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7259364155" }, { "job": 78237777961, "time": 119, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7259364887" }, { "job": 78237374621, "time": 192, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7259335519" }, { "job": 78237777967, "time": 112, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7259363360" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26558876864", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/vdar", "_commit": { "id": "f1e6e9efd550a557f27729ac8234a797070ecd1f", "author": "Solveig Pospiech ", "committer": "cran-robot ", "message": "version 0.1.3-2\n", "time": 1641321602 }, "_maintainer": { "name": "Solveig Pospiech", "email": "s.pospiech@hzdr.de" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.6.0", "role": "Depends" }, { "package": "compositions", "role": "Imports" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "ggthemes", "role": "Suggests" }, { "package": "ggtern", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 191, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/vdar" }, "_searchresults": 0, "_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/vdar.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.1", "date": "2020-03-10" }, { "version": "0.1.2-1", "date": "2020-03-19" }, { "version": "0.1.3", "date": "2020-07-17" }, { "version": "0.1.3-2", "date": "2022-01-04" } ], "_exports": [ "calc_estimate_true_var", "generalized_mean", "vlda", "vqda" ], "_datasets": [ { "name": "dataobs", "title": "Simulated observation data", "object": "dataobs", "class": [ "data.frame" ], "fields": [ "Var1", "Var2", "Group" ], "rows": 200, "table": true, "tojson": true }, { "name": "dataobs_coda", "title": "Simulated observation of compositional data", "object": "dataobs_coda", "class": [ "data.frame" ], "fields": [ "Var1", "Var2", "Var3", "Group" ], "rows": 200, "table": true, "tojson": true }, { "name": "datatrue", "title": "Simulated true data", "object": "datatrue", "class": [ "data.frame" ], "fields": [ "Var1", "Var2", "Group" ], "rows": 200, "table": true, "tojson": true }, { "name": "datatrue_coda", "title": "Simulated true compositional data", "object": "datatrue_coda", "class": [ "data.frame" ], "fields": [ "Var1", "Var2", "Var3", "Group" ], "rows": 200, "table": true, "tojson": true }, { "name": "uncertainties", "title": "Simulated observation uncertainties", "object": "uncertainties", "class": [ "data.frame" ], "fields": [ "Var1", "Var2", "Group" ], "rows": 200, "table": true, "tojson": true }, { "name": "uncertainties_coda", "title": "Simulated observation uncertainties of compositional data", "object": "uncertainties_coda", "class": [ "data.frame" ], "fields": [ "Var1", "Var2", "Var3", "Group" ], "rows": 200, "table": true, "tojson": true } ], "_help": [ { "page": "calc_estimate_true_var", "title": "Estimate true group variance", "topics": [ "calc_estimate_true_var", "calc_estimate_true_var.default", "calc_estimate_true_var.rmult" ] }, { "page": "dataobs", "title": "Simulated observation data", "topics": [ "dataobs" ] }, { "page": "dataobs_coda", "title": "Simulated observation of compositional data", "topics": [ "dataobs_coda" ] }, { "page": "datatrue", "title": "Simulated true data", "topics": [ "datatrue" ] }, { "page": "datatrue_coda", "title": "Simulated true compositional data", "topics": [ "datatrue_coda" ] }, { "page": "force_posdef", "title": "Force positive definiteness", "topics": [ "force_posdef" ] }, { "page": "generalized_mean", "title": "Generalized mean", "topics": [ "generalized_mean", "generalized_mean.default", "generalized_mean.rmult" ] }, { "page": "predict", "title": "predict.vqda", "topics": [ "predict.vlda", "predict.vqda" ] }, { "page": "uncertainties", "title": "Simulated observation uncertainties", "topics": [ "uncertainties" ] }, { "page": "uncertainties_coda", "title": "Simulated observation uncertainties of compositional data", "topics": [ "uncertainties_coda" ] }, { "page": "vlda", "title": "Weighted Linear Discriminant Analysis", "topics": [ "vlda" ] }, { "page": "vqda", "title": "Weighted Quadratic Discriminant Analysis", "topics": [ "vqda" ] } ], "_rundeps": [ "bayesm", "compositions", "DEoptimR", "MASS", "Rcpp", "RcppArmadillo", "robustbase", "tensorA" ], "_score": 1, "_indexed": true, "_nocasepkg": "vdar", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.3-2", "date": "2026-05-28T06:43:56.000Z", "distro": "noble", "commit": "f1e6e9efd550a557f27729ac8234a797070ecd1f", "fileid": "009a91c74b183e5c91a4646c57d27165bf183ca2895dd6d373c1aa1114fb5029", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26558876864" }, { "r": "4.6.0", "os": "linux", "version": "0.1.3-2", "date": "2026-05-28T06:44:00.000Z", "distro": "noble", "commit": "f1e6e9efd550a557f27729ac8234a797070ecd1f", "fileid": "db5cd1b7c0e547e878b1bea44068d42c1dec77d5394879c0fcdfc373d7b20dfa", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26558876864" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.3-2", "date": "2026-05-28T06:44:08.000Z", "commit": "f1e6e9efd550a557f27729ac8234a797070ecd1f", "fileid": "6e81e3d3dc1270620fd78f40c95eee3c61b9cc00b3bf08559c7c3fd0923eac22", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26558876864" } ] }