{ "_id": "6aca4c57fe5cc25786e86cd4", "Package": "kdml", "Title": "Kernel Distance Metric Learning for Mixed-Type Data", "Version": "1.1.1", "Authors@R": "c(person(\"John R. J.\", \"Thompson\", email = \"john.thompson@ubc.ca\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6303-449X\")),\nperson(\"Jesse S.\",\"Ghashti\", email=\"jesse.ghashti@ubc.ca\", role = \"aut\",\ncomment = c(ORCID = \"0009-0001-6645-1766\")))", "Maintainer": "John R. J. Thompson ", "Description": "Distance metrics for mixed-type data consisting of\ncontinuous, nominal, and ordinal variables. This methodology\nuses additive and product kernels to calculate similarity\nfunctions and metrics, and selects variables relevant to the\nunderlying distance through bandwidth selection via maximum\nsimilarity cross-validation. These methods can be used in any\ndistance-based algorithm, such as distance-based clustering.\nFor further details, we refer the reader to Ghashti and\nThompson (2024) for dkps()\nmethodology, and Ghashti (2024) for\ndkss() methodology.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-10 14:06:58 UTC", "User": "root" }, "Author": "John R. J. Thompson [aut, cre]\n(), Jesse S. Ghashti\n[aut] ()", "Config/pak/sysreqs": "make", "Repository": "https://jrjthompson.r-universe.dev", "Date/Publication": "2025-02-21 01:56:47 UTC", "RemoteUrl": "https://github.com/cran/kdml", "RemoteRef": "HEAD", "RemoteSha": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "_user": "jrjthompson", "_type": "src", "_file": "kdml_1.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/875ecf451d723bef0c381ab54cbb0240d28b7d7e32d10d7301601f4536c9ab46", "_filesize": 283213, "_sha256": "875ecf451d723bef0c381ab54cbb0240d28b7d7e32d10d7301601f4536c9ab46", "_expires": "2027-01-18T14:31:50.000Z", "_created": "2026-10-10T14:06:58.000Z", "_published": "2026-10-10T14:31:51.675Z", "_buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 114231353375, "time": 126, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11672109963" }, { "job": 114231353347, "time": 148, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11672470519" }, { "job": 114231353328, "time": 163, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11672392170" }, { "job": 114231353423, "time": 170, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11672975785" }, { "job": 114230708387, "time": 165, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11672240542" }, { "job": 114231353342, "time": 95, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11672475349" }, { "job": 114231353353, "time": 87, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11672640177" }, { "job": 114231353372, "time": 83, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11671213774" }, { "job": 114231353286, "time": 77, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11672675132" } ], "_upstream": "https://github.com/cran/kdml", "_commit": { "id": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "author": "John R. J. Thompson ", "committer": "cran-robot ", "message": "version 1.1.1\n", "time": 1740103007 }, "_maintainer": { "name": "John R. J. Thompson", "email": "john.thompson@ubc.ca", "login": "jrjthompson", "linkedin": "in/john-thompson-4b2b036b", "description": "", "uuid": 89273260, "orcid": "0000-0002-6303-449X" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "np", "role": "Depends" }, { "package": "MASS", "role": "Imports" }, { "package": "markdown", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 1, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "jrjthompson", "count": 3, "uuid": 89273260 } ], "_userbio": { "uuid": 89273260, "type": "user", "name": "John R.J. Thompson", "followers": 3 }, "_downloads": { "count": 283, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/kdml" }, "_searchresults": 7, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/kdml.html", "extra/manual.pdf", "extra/readme.html", "extra/readme.md" ], "_realowner": "jrjthompson", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2024-08-27" }, { "version": "1.1.0", "date": "2024-09-21" }, { "version": "1.1.1", "date": "2025-02-21" } ], "_exports": [ "confactord", "dkps", "dkss", "kss", "mscv.dkps", "mscv.dkss", "spectral.clust" ], "_help": [ { "page": "confactord", "title": "Mixed-type Data Generation with True Membership Labels", "topics": [ "confactord" ] }, { "page": "dkps", "title": "Distance using Kernel Product Similarity (DKPS) for Mixed-type Data", "concept": [ "~distances", "~metrics", "~metriclearning" ], "topics": [ "dkps" ] }, { "page": "dkss", "title": "Distance using Kernel Summation Similarity (DKSS) for Mixed-type Data", "concept": [ "~distances", "~metrics", "~metriclearning" ], "topics": [ "dkss" ] }, { "page": "kdml-package", "title": "Kernel Metric Learning for Mixed-type Data", "topics": [ "kdml-package", "kdml" ] }, { "page": "kss", "title": "Kernel Summation Similarity Function (KSS) for Mixed-type Data", "concept": [ "~distances", "~metrics", "~metriclearning" ], "topics": [ "kss" ] }, { "page": "mscv.dkps", "title": "Maximum-similarity Cross-validated (MSCV) bandwidth selection method for the Distance using Kernel Product Similarities (DKPS)", "concept": [ "~distances", "~metrics", "~metriclearning" ], "topics": [ "mscv.dkps" ] }, { "page": "mscv.dkss", "title": "Maximum-similarity Cross-validated (MSCV) bandwidth selection method for the distance using kernel summation similarity (DKSS)", "concept": [ "~distances", "~metrics", "~metriclearning" ], "topics": [ "mscv.dkss" ] }, { "page": "spectral.clust", "title": "Spectral Clustering using Similarity or Distance Matrices", "concept": [ "~similaritylearning", "~similarity", "~clustering", "~spectralclustering" ], "topics": [ "spectral.clust" ] } ], "_readme": "https://github.com/cran/kdml/raw/HEAD/README.md", "_rundeps": [ "boot", "commonmark", "crs", "cubature", "lattice", "litedown", "markdown", "MASS", "Matrix", "MatrixModels", "np", "quadprog", "quantreg", "Rcpp", "SparseM", "survival", "xfun" ], "_vignettes": [ { "source": "kdml.Rmd", "filename": "kdml.html", "title": "kdml package", "author": "John R. J. Thompson & Jesse S. Ghashti", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Installing", "Bandwidth Selection", "Data Generation" ], "created": "2024-08-28 02:50:00", "modified": "2024-08-28 02:50:00", "commits": 1 } ], "_score": 3.1760912590556813, "_indexed": true, "_nocasepkg": "kdml", "_universes": [ "jrjthompson" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.1", "date": "2026-10-10T14:08:53.000Z", "distro": "resolute", "commit": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "fileid": "https://r2.ropensci.org/843b3bf8b64ebf6014ed689cc700ff29dd22a7fe4d182b3631aa051faf057c5b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424" }, { "r": "4.6.1", "os": "linux", "version": "1.1.1", "date": "2026-10-10T14:09:03.000Z", "distro": "resolute", "commit": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "fileid": "https://r2.ropensci.org/5997c51099037d356e6888bf003614fb8e103a1a6b93e9355c864eb32115fdc5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424" }, { "r": "4.5.3", "os": "mac", "version": "1.1.1", "date": "2026-10-10T14:23:16.000Z", "commit": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "fileid": "https://r2.ropensci.org/c9a61e64aa1aae79e8d04553a15ea03ece460cb94f1b56448706f29bf1a82301", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424" }, { "r": "4.6.1", "os": "mac", "version": "1.1.1", "date": "2026-10-10T14:30:30.000Z", "commit": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "fileid": "https://r2.ropensci.org/9827d09f36d652828143e01441dece1114ae3810a8af19be8c7b217c4fe50ac0", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.1", "date": "2026-10-10T14:08:50.000Z", "commit": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "fileid": "https://r2.ropensci.org/506133ef42edb44cec37bd33a11a1f8e8e98087d34a2e1e0a455b2c9ab449b2d", "status": "success", "buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424" }, { "r": "4.7.0", "os": "win", "version": "1.1.1", "date": "2026-10-10T14:08:01.000Z", "commit": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "fileid": "https://r2.ropensci.org/71691492240672145e0d490ed0e2f6d74ad336064ee8f4cbc1136394ba176d50", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424" }, { "r": "4.5.3", "os": "win", "version": "1.1.1", "date": "2026-10-10T14:08:02.000Z", "commit": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "fileid": "https://r2.ropensci.org/48bd64347d5d3b9ad01e110773c66e7bb22a4e739b5b82c72cca80912335a5dd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424" }, { "r": "4.6.1", "os": "win", "version": "1.1.1", "date": "2026-10-10T14:08:01.000Z", "commit": "f6e0a566ce7d52e5ea543f898ee58bda112f4a88", "fileid": "https://r2.ropensci.org/c848ddd681b5b7b6aaabf3415263836e820e236a1784a79beebb50c26a1eea7d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jrjthompson/actions/runs/38058078424" } ] }