{ "_id": "6ad73e22d556c3a3418a708c", "Package": "KRLS", "Type": "Package", "Title": "Kernel-Based Regularized Least Squares", "Version": "1.7-1", "Date": "2026-07-05", "Authors@R": "c(\nperson(\"Jens\", \"Hainmueller\", email = \"jhain@stanford.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Chad\", \"Hazlett\", role = \"aut\"))", "Description": "Implements Kernel-based Regularized Least Squares (KRLS),\na machine learning method to fit multidimensional functions y =\nf(x) for regression and classification problems without relying\non linearity or additivity assumptions. KRLS finds the best\nfitting function by minimizing the squared loss of a Tikhonov\nregularization problem, using Gaussian kernels as radial basis\nfunctions. For further details see Hainmueller and Hazlett\n(2014, ).", "License": "GPL (>= 2)", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "URL": "https://web.stanford.edu/~jhain/, https://github.com/j-hai/KRLS", "BugReports": "https://github.com/j-hai/KRLS/issues", "Encoding": "UTF-8", "Repository": "https://j-hai.r-universe.dev", "Date/Publication": "2026-07-05 17:15:07 UTC", "RemoteUrl": "https://github.com/j-hai/krls", "RemoteRef": "HEAD", "RemoteSha": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-20 10:05:55 UTC", "User": "root" }, "Author": "Jens Hainmueller [aut, cre],\nChad Hazlett [aut]", "Maintainer": "Jens Hainmueller ", "_user": "j-hai", "_type": "src", "_file": "KRLS_1.7-1.tar.gz", "_fileid": "https://r2.ropensci.org/ee21a29cf2ffcdbbaffc806513cf549fb94f186725c94bd3ddaf2fcbbbb78078", "_filesize": 416738, "_sha256": "ee21a29cf2ffcdbbaffc806513cf549fb94f186725c94bd3ddaf2fcbbbb78078", "_expires": "2027-01-28T10:10:40.000Z", "_created": "2026-10-20T10:05:55.000Z", "_published": "2026-10-20T10:10:42.682Z", "_upstream": "https://github.com/j-hai/krls", "_status": "success", "_maintainer": { "name": "Jens Hainmueller", "email": "jhain@stanford.edu", "login": "j-hai", "description": "", "uuid": 115841204 }, "_jobs": [ { "job": 118570359675, "time": 155, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12257850104" }, { "job": 118570359994, "time": 157, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12257550704" }, { "job": 118570359745, "time": 246, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "12257426003" }, { "job": 118570359781, "time": 153, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12256935920" }, { "job": 118569096973, "time": 186, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12257130384" }, { "job": 118570359615, "time": 87, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "12257645063" }, { "job": 118570359816, "time": 75, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12255464872" }, { "job": 118570359659, "time": 90, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "12257280579" }, { "job": 118570359643, "time": 111, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12257830072" } ], "_buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753", "_commit": { "id": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "author": "Jens Hainmueller ", "committer": "Jens Hainmueller ", "message": "cran-comments: record completed win-builder R-release/R-devel (both OK)\n\nCo-Authored-By: Claude Opus 4.8 (1M context) \n", "time": 1783271707 }, "_distro": "resolute", "_host": "GitHub-Actions", "_registered": true, "_dependencies": [ { "package": "grDevices", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "lattice", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "generics", "role": "Suggests" } ], "_owner": "j-hai", "_selfowned": true, "_usedby": 2, "_updates": [ { "week": "2026-18", "n": 6 }, { "week": "2026-19", "n": 1 }, { "week": "2026-20", "n": 11 }, { "week": "2026-23", "n": 6 }, { "week": "2026-27", "n": 2 } ], "_tags": [ { "name": "v1.1-0", "date": "2026-04-30" }, { "name": "v1.2-0", "date": "2026-05-09" }, { "name": "v1.4-0", "date": "2026-05-11" }, { "name": "v1.4-1", "date": "2026-05-11" }, { "name": "v1.5-0", "date": "2026-05-11" }, { "name": "v1.5-1", "date": "2026-05-11" }, { "name": "v1.5-2", "date": "2026-05-11" }, { "name": "v1.6-0", "date": "2026-05-12" }, { "name": "v1.6-1", "date": "2026-05-12" }, { "name": "v1.7-0", "date": "2026-06-05" } ], "_stars": 0, "_contributors": [ { "user": "j-hai", "count": 27, "uuid": 115841204 }, { "user": "chadhazlett", "count": 1, "uuid": 5587656 } ], "_userbio": { "uuid": 115841204, "type": "user", "name": "j-hai", "followers": 2 }, "_downloads": { "count": 468, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/KRLS" }, "_mentions": 5, "_devurl": "https://github.com/j-hai/krls", "_searchresults": 98, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/KRLS.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md" ], "_homeurl": "https://github.com/j-hai/krls", "_realowner": "j-hai", "_cranurl": true, "_releases": [ { "version": "0.1", "date": "2011-09-30" }, { "version": "0.2", "date": "2011-12-27" }, { "version": "0.3-1", "date": "2013-08-07" }, { "version": "0.3-2", "date": "2013-08-09" }, { "version": "0.3-5", "date": "2013-12-20" }, { "version": "0.3-7", "date": "2014-05-21" }, { "version": "1.0-0", "date": "2017-07-10" }, { "version": "1.1-0", "date": "2026-04-30" }, { "version": "1.7-0", "date": "2026-06-05" }, { "version": "1.7-1", "date": "2026-07-06" } ], "_exports": [ "b_maxvarK", "b_maxvarK_nystrom", "gausskernel", "get_landmarks", "krls", "looloss", "plot.krls", "predict.krls", "solveforc", "summary.krls" ], "_help": [ { "page": "b_maxvarK", "title": "Gaussian kernel bandwidth by maximum off-diagonal var(K)", "topics": [ "b_maxvarK", "b_maxvarK_nystrom" ] }, { "page": "fdskrls", "title": "Compute first differences with KRLS", "topics": [ "fdskrls" ] }, { "page": "gausskernel", "title": "Gaussian Kernel Distance Computation", "topics": [ "gausskernel" ] }, { "page": "get_landmarks", "title": "Extract the landmark coordinates from a Nystrom KRLS fit", "topics": [ "get_landmarks" ] }, { "page": "krls", "title": "Kernel-based Regularized Least Squares (KRLS)", "topics": [ "krls" ] }, { "page": "lambdasearch", "title": "Leave-one-out optimization to find lambda", "topics": [ "lambdasearch" ] }, { "page": "looloss", "title": "Loss Function for Leave One Out Error", "topics": [ "looloss" ] }, { "page": "plot.krls", "title": "Plot method for Kernel-based Regularized Least Squares (KRLS) Model Fits", "topics": [ "plot.krls" ] }, { "page": "predict.krls", "title": "Predict method for Kernel-based Regularized Least Squares (KRLS) Model Fits", "topics": [ "predict.krls" ] }, { "page": "solveforc", "title": "Solve for Choice Coefficients in KRLS", "topics": [ "solveforc" ] }, { "page": "summary.krls", "title": "Summary method for Kernel-based Regularized Least Squares (KRLS) Model Fits", "topics": [ "summary.krls" ] } ], "_readme": "https://github.com/j-hai/krls/raw/HEAD/README.md", "_rundeps": [], "_vignettes": [ { "source": "krls-quickstart.Rmd", "filename": "krls-quickstart.html", "title": "Quickstart: kernel-regularized least squares with KRLS", "author": "Jens Hainmueller and Chad Hazlett", "engine": "knitr::rmarkdown", "headings": [ "Why KRLS?", "A simulated example", "Fit", "Tidy output", "Visualize", "Augment for downstream analysis", "When KRLS is the right tool", "See also", "References" ], "created": "2026-05-09 23:32:59", "modified": "2026-05-11 19:22:06", "commits": 2 }, { "source": "krls-nystrom-scaling.Rmd", "filename": "krls-nystrom-scaling.html", "title": "Scaling KRLS to larger n: the Nystrom approximation", "author": "Jens Hainmueller and Chad Hazlett", "engine": "knitr::rmarkdown", "headings": [ "Motivation", "A scaling comparison", "Scaling beyond what exact KRLS can do", "Reusing landmarks across fits", "Choosing the lambda criterion", "What carries over from the exact path", "Limitations" ], "created": "2026-05-11 15:27:16", "modified": "2026-05-12 16:26:57", "commits": 3 } ], "_score": 7.1673173347481764, "_indexed": true, "_nocasepkg": "krls", "_universes": [ "j-hai" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.7-1", "date": "2026-10-20T10:08:22.000Z", "distro": "resolute", "commit": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "fileid": "https://r2.ropensci.org/7b5d734280882672394b0c1a97dd60737a88e04704155db2f29d60bcf88ef291", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753" }, { "r": "4.6.1", "os": "linux", "version": "1.7-1", "date": "2026-10-20T10:08:27.000Z", "distro": "resolute", "commit": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "fileid": "https://r2.ropensci.org/c9b158a7b8976c1bfd10eb19f091c488adc524b49ca7de6df52ec1e5b4cf8259", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753" }, { "r": "4.5.3", "os": "mac", "version": "1.7-1", "date": "2026-10-20T10:09:05.000Z", "commit": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "fileid": "https://r2.ropensci.org/2687005ae36bad6814ef9dd41ab50fd88f880a8497bbb0a55c6bcb9243dfdc28", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753" }, { "r": "4.6.1", "os": "mac", "version": "1.7-1", "date": "2026-10-20T10:08:00.000Z", "commit": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "fileid": "https://r2.ropensci.org/5e0acaddafc5109d344cf046210a27eac3a0ca9eda94270131ff670d390c82f5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753" }, { "r": "4.6.0", "os": "wasm", "version": "1.7-1", "date": "2026-10-20T10:07:37.000Z", "commit": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "fileid": "https://r2.ropensci.org/86c07bf7a35d6b7feee913c63568dd32812043c3072bab9d23fb538ea614976a", "status": "success", "buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753" }, { "r": "4.7.0", "os": "win", "version": "1.7-1", "date": "2026-10-20T10:06:59.000Z", "commit": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "fileid": "https://r2.ropensci.org/dc44948ed4d41bec90176287e934871c99e90e8929c671f5c68c768e3270ad9e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753" }, { "r": "4.5.3", "os": "win", "version": "1.7-1", "date": "2026-10-20T10:07:06.000Z", "commit": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "fileid": "https://r2.ropensci.org/a8cbd82902f01a35a7f2c1b634b26746fc14ebd926e33016b25c03398e0e0e14", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753" }, { "r": "4.6.1", "os": "win", "version": "1.7-1", "date": "2026-10-20T10:07:26.000Z", "commit": "4a2f765d09330d0de58a9e064eea62de4b5792ac", "fileid": "https://r2.ropensci.org/dd3274b115a348d2f666df2392cad74071b68d45c734d5f9aae09c967624e46d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/j-hai/actions/runs/39405098753" } ] }