{ "_id": "6a32e0d33efcd9bda439581b", "Package": "GLBFP", "Type": "Package", "Title": "General Linear Blend Frequency Polygon Density Estimation", "Version": "0.5.2.9000", "Authors@R": "c(\nperson(given = \"Aurélien\",\nfamily = \"Nicosia\",\nrole = c(\"aut\", \"cre\"),\nemail = \"aurelien.nicosia@mat.ulaval.ca\"),\nperson(given = \"Thierry\",\nfamily = \"Duchesne\",\nrole = \"aut\"),\nperson(given = \"Michel\",\nfamily = \"Carbon\",\nrole = \"aut\")\n)", "Description": "Implements nonparametric density estimation with Averaged\nShifted Histogram (ASH), Linear Blend Frequency Polygon (LBFP),\nand General Linear Blend Frequency Polygon (GLBFP) estimators.\nThe package provides pointwise and grid-based estimation\nworkflows, sparse-prefix grid-count computation, fixed-grid\nleave-one-out self-support scores, plotting helpers, and\nplug-in bandwidth selection.", "License": "GPL (>= 3)", "URL": "https://aureliennicosiaulaval.github.io/GLBFP/,\nhttps://github.com/AurelienNicosiaULaval/GLBFP", "BugReports": "https://github.com/AurelienNicosiaULaval/GLBFP/issues", "VignetteBuilder": "knitr, rmarkdown", "Config/testthat/edition": "3", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://aureliennicosiaulaval.r-universe.dev", "Date/Publication": "2026-06-17 15:24:36 UTC", "RemoteUrl": "https://github.com/aureliennicosiaulaval/glbfp", "RemoteRef": "HEAD", "RemoteSha": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-17 17:57:08 UTC", "User": "root" }, "Author": "Aurélien Nicosia [aut, cre],\nThierry Duchesne [aut],\nMichel Carbon [aut]", "Maintainer": "Aurélien Nicosia ", "MD5sum": "d50687fb82a423eb58adf6cd0eb5a627", "_user": "aureliennicosiaulaval", "_type": "src", "_file": "GLBFP_0.5.2.9000.tar.gz", "_fileid": "52430e335d875d0b33c54b00d25c15080eee2a6f098df3622415258c353251a5", "_filesize": 925925, "_sha256": "52430e335d875d0b33c54b00d25c15080eee2a6f098df3622415258c353251a5", "_created": "2026-06-17T17:57:08.000Z", "_published": "2026-06-17T18:00:51.752Z", "_distro": "noble", "_jobs": [ { "job": 81965326585, "time": 137, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7703729796" }, { "job": 81965326396, "time": 145, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7703733571" }, { "job": 81965326445, "time": 92, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7703712222" }, { "job": 81965326583, "time": 79, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7703706829" }, { "job": 81964681093, "time": 192, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7703675504" }, { "job": 81965326443, "time": 105, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7703717522" }, { "job": 81965326514, "time": 115, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7703721075" }, { "job": 81965326519, "time": 93, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7703712517" }, { "job": 81965326535, "time": 76, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7703706275" } ], "_buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/aureliennicosiaulaval/glbfp", "_commit": { "id": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "author": "Aurélien Nicosia <116816597+AurelienNicosiaULaval@users.noreply.github.com>", "committer": "Aurélien Nicosia <116816597+AurelienNicosiaULaval@users.noreply.github.com>", "message": "Remove generated and unused repository folders\n", "time": 1781709876 }, "_maintainer": { "name": "Aurélien Nicosia", "email": "aurelien.nicosia@mat.ulaval.ca", "login": "aureliennicosiaulaval", "linkedin": "in/aur%C3%A9lien-nicosia-6a52487b", "description": "Chargé d’enseignement à l’Université Laval • Passionné par la science des données, R et la pédagogie active • Créateur d’outils et de ressources pour apprendre ", "uuid": 116816597 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "ggplot2", "role": "Imports" }, { "package": "plotly", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "aureliennicosiaulaval", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-51", "n": 5 }, { "week": "2026-18", "n": 4 }, { "week": "2026-23", "n": 1 }, { "week": "2026-24", "n": 1 }, { "week": "2026-25", "n": 5 } ], "_tags": [ { "name": "v.0.5.0", "date": "2025-12-16" }, { "name": "v.0.5.1", "date": "2026-05-03" }, { "name": "v.0.5.2", "date": "2026-06-17" } ], "_stars": 0, "_contributors": [ { "user": "aureliennicosiaulaval", "count": 44, "uuid": 116816597 } ], "_userbio": { "uuid": 116816597, "type": "user", "name": "Aurélien Nicosia", "followers": 8, "description": "Chargé d’enseignement à l’Université Laval • Passionné par la science des données, R et la pédagogie active • Créateur d’outils et de ressources pour apprendre " }, "_downloads": { "count": 8, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/GLBFP" }, "_devurl": "https://github.com/aureliennicosiaulaval/glbfp", "_pkgdown": "https://aureliennicosiaulaval.github.io/GLBFP/", "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/GLBFP.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/aureliennicosiaulaval/glbfp", "_realowner": "aureliennicosiaulaval", "_cranurl": true, "_releases": [ { "version": "0.5.1", "date": "2026-06-16" } ], "_exports": [ "ash", "ASH", "ash_estimate", "ASH_estimate", "compute_bi_optim", "compute_di", "compute_Di", "compute_G_star", "G_i", "glbfp", "GLBFP", "glbfp_estimate", "GLBFP_estimate", "K_mi", "lbfp", "LBFP", "lbfp_estimate", "LBFP_estimate" ], "_datasets": [ { "name": "ashua", "title": "River Ashuapmushuan daily flow and level data", "object": "ashua", "class": [ "data.frame" ], "fields": [ "flow", "level", "day" ], "rows": 4389, "table": true, "tojson": true } ], "_help": [ { "page": "GLBFP-package", "title": "GLBFP: General Linear Blend Frequency Polygon Density Estimation", "topics": [ "GLBFP-package" ] }, { "page": "as.data.frame.glbfp_grid", "title": "Convert GLBFP objects to data frames", "topics": [ "as.data.frame.glbfp_di", "as.data.frame.glbfp_grid" ] }, { "page": "ASH", "title": "Averaged Shifted Histogram (ASH) estimator at a single point", "topics": [ "ASH", "print.ASH" ] }, { "page": "ASH_estimate", "title": "ASH density estimation on a grid", "topics": [ "ASH_estimate", "plot.ASH_estimate", "print.ASH_estimate" ] }, { "page": "ashua", "title": "River Ashuapmushuan daily flow and level data", "topics": [ "ashua" ] }, { "page": "compute_bi_optim", "title": "Compute bandwidth vector b_i", "topics": [ "compute_bi_optim" ] }, { "page": "compute_Di", "title": "Leave-one-out self-support scores for grid density estimators", "topics": [ "compute_Di" ] }, { "page": "compute_G_star", "title": "Compute the G^* bandwidth constant", "topics": [ "compute_G_star" ] }, { "page": "G_i", "title": "Compute the G(m_i) bandwidth constant", "topics": [ "G_i" ] }, { "page": "GLBFP", "title": "General Linear Blend Frequency Polygon (GLBFP) estimator at a single point", "topics": [ "GLBFP", "print.GLBFP" ] }, { "page": "GLBFP_estimate", "title": "GLBFP density estimation on a grid", "topics": [ "GLBFP_estimate", "plot.GLBFP_estimate", "print.GLBFP_estimate" ] }, { "page": "K_mi", "title": "Compute the K(m_i) bandwidth constant", "topics": [ "K_mi" ] }, { "page": "LBFP", "title": "Linear Blend Frequency Polygon (LBFP) estimator at a single point", "topics": [ "LBFP", "print.LBFP" ] }, { "page": "LBFP_estimate", "title": "LBFP density estimation on a grid", "topics": [ "LBFP_estimate", "plot.LBFP_estimate", "print.LBFP_estimate" ] }, { "page": "lowercase_aliases", "title": "Lowercase aliases for the public API", "topics": [ "ash", "ash_estimate", "compute_di", "glbfp", "glbfp_estimate", "lbfp", "lbfp_estimate", "lowercase_aliases" ] }, { "page": "predict.glbfp_fit", "title": "Predict from GLBFP fit objects", "topics": [ "predict.glbfp_fit" ] }, { "page": "summary.glbfp_fit", "title": "Summarize GLBFP fit objects", "topics": [ "summary.glbfp_fit" ] } ], "_pkglogo": "https://github.com/aureliennicosiaulaval/glbfp/raw/HEAD/man/figures/logo.svg", "_readme": "https://github.com/aureliennicosiaulaval/glbfp/raw/HEAD/README.md", "_rundeps": [ "askpass", "base64enc", "bslib", "cachem", "cli", "cpp11", "crosstalk", "curl", "data.table", "digest", "dplyr", "evaluate", "farver", "fastmap", "fontawesome", "fs", "generics", "ggplot2", "glue", "gtable", "highr", "htmltools", "htmlwidgets", "httr", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "later", "lazyeval", "lifecycle", "magrittr", "memoise", "mime", "openssl", "otel", "pillar", "pkgconfig", "plotly", "promises", "purrr", "R6", "rappdirs", "RColorBrewer", "Rcpp", "rlang", "rmarkdown", "S7", "sass", "scales", "stringi", "stringr", "sys", "tibble", "tidyr", "tidyselect", "tinytex", "utf8", "vctrs", "viridisLite", "withr", "xfun", "yaml" ], "_vignettes": [ { "source": "glbfp-theory-brief.Rmd", "filename": "glbfp-theory-brief.html", "title": "Brief methodological background", "engine": "knitr::rmarkdown", "headings": [ "Histogram-based density estimation", "Estimators implemented in the package", "Bandwidth and shift parameters", "Scope of this package", "References" ], "created": "2026-05-03 12:47:04", "modified": "2026-06-08 12:56:51", "commits": 2 }, { "source": "GLBFP_estimator_choice.Rmd", "filename": "GLBFP_estimator_choice.html", "title": "Choosing between ASH, LBFP and GLBFP", "engine": "knitr::rmarkdown", "headings": [ "Practical starting rules" ], "created": "2026-06-07 19:52:19", "modified": "2026-06-08 12:56:51", "commits": 2 }, { "source": "getting-started.Rmd", "filename": "getting-started.html", "title": "Getting started with GLBFP", "engine": "knitr::rmarkdown", "headings": [ "Installation", "Load the package", "Estimate density at one point", "Estimate density on a grid", "Using the included data", "Leave-one-out scores", "Input expectations", "Where to go next" ], "created": "2026-05-03 12:47:04", "modified": "2026-06-08 12:56:51", "commits": 3 }, { "source": "GLBFP_leave_one_out_scores.Rmd", "filename": "GLBFP_leave_one_out_scores.html", "title": "Leave-one-out D_i diagnostics", "engine": "knitr::rmarkdown", "headings": [], "created": "2026-06-07 19:52:19", "modified": "2026-06-08 12:56:51", "commits": 2 }, { "source": "GLBFP_estimation.Rmd", "filename": "GLBFP_estimation.html", "title": "Legacy estimation example", "engine": "knitr::rmarkdown", "headings": [], "created": "2025-02-20 15:59:06", "modified": "2026-06-08 12:56:51", "commits": 3 }, { "source": "GLBFP_objects_and_s3.Rmd", "filename": "GLBFP_objects_and_s3.html", "title": "Objects, summaries and plotting", "engine": "knitr::rmarkdown", "headings": [], "created": "2026-06-07 19:52:19", "modified": "2026-06-08 12:56:51", "commits": 2 }, { "source": "GLBFP_introduction.Rmd", "filename": "GLBFP_introduction.html", "title": "Package overview and workflow map", "engine": "knitr::rmarkdown", "headings": [ "Estimator families", "Core workflow", "Article guide", "Input expectations" ], "created": "2026-05-03 12:47:04", "modified": "2026-06-08 12:56:51", "commits": 2 }, { "source": "GLBFP_fast_sparse_computation.Rmd", "filename": "GLBFP_fast_sparse_computation.html", "title": "Sparse-prefix computation", "engine": "knitr::rmarkdown", "headings": [], "created": "2026-06-07 19:52:19", "modified": "2026-06-08 12:56:51", "commits": 2 }, { "source": "two-dimensional-density.Rmd", "filename": "two-dimensional-density.html", "title": "Two-dimensional density estimation", "engine": "knitr::rmarkdown", "headings": [ "Simulated example", "Pointwise estimation", "Grid estimation", "Visualization", "Computational note" ], "created": "2026-05-03 12:47:04", "modified": "2026-06-08 12:56:51", "commits": 2 }, { "source": "GLBFP_validation.Rmd", "filename": "GLBFP_validation.html", "title": "Validation and comparison", "engine": "knitr::rmarkdown", "headings": [ "Run benchmark suite", "MISE ranking by scenario", "Sensitivity analysis (b, m)", "Notes" ], "created": "2026-05-03 12:47:04", "modified": "2026-06-08 12:56:51", "commits": 2 } ], "_score": 5.3979400086720375, "_indexed": true, "_nocasepkg": "glbfp", "_universes": [ "aureliennicosiaulaval" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.5.2.9000", "date": "2026-06-17T17:59:23.000Z", "distro": "noble", "commit": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "fileid": "95904eb31e2a15e7c2f8669f3571456bc7dfb3c103908e3d293cab3ad001cef1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184" }, { "r": "4.6.0", "os": "linux", "version": "0.5.2.9000", "date": "2026-06-17T17:59:30.000Z", "distro": "noble", "commit": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "fileid": "8eaeed33521bfd671b05fcc9dd2bc1de62c45d206b7136c88078da32c528d388", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184" }, { "r": "4.5.3", "os": "mac", "version": "0.5.2.9000", "date": "2026-06-17T17:58:45.000Z", "commit": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "fileid": "a2b76893b447ece2f363c4c6106bbbf8d5d0918234e68e0495a4b8d13ee57775", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184" }, { "r": "4.6.0", "os": "mac", "version": "0.5.2.9000", "date": "2026-06-17T17:58:31.000Z", "commit": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "fileid": "3a185d87950a26f215511bde2b3f0f487f47ec3127865d5317b7657f3027a7ed", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184" }, { "r": "4.6.0", "os": "wasm", "version": "0.5.2.9000", "date": "2026-06-17T17:59:09.000Z", "commit": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "fileid": "51f04d561bd2854d8dc26cccee3b19e82bc185d6eb99c186c0c85b2b6ec8ca8d", "status": "success", "buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184" }, { "r": "4.7.0", "os": "win", "version": "0.5.2.9000", "date": "2026-06-17T17:58:39.000Z", "commit": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "fileid": "c185e7a0f7e28e6f00521a41f1de3356f6e296093649abf36a392500889cc0f3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184" }, { "r": "4.5.3", "os": "win", "version": "0.5.2.9000", "date": "2026-06-17T17:58:31.000Z", "commit": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "fileid": "e8a8177fd1ed84bdaba58fe68feda830b24ea7e4d23eb7d4388103e1e81e8c34", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184" }, { "r": "4.6.0", "os": "win", "version": "0.5.2.9000", "date": "2026-06-17T17:58:20.000Z", "commit": "9e91c088b0d478ffcee26b99f8c3e0d3ad3fe31e", "fileid": "7b93111cf331303881cb264610f8b59da40909647f074766a6faf75719dc29cb", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/aureliennicosiaulaval/actions/runs/27708917184" } ] }