{ "_id": "6a142409acfb0bcc41d3f273", "Package": "dafs", "Version": "1.0-38", "Date": "2022-04-11", "Title": "Data Analysis for Forensic Scientists", "Author": "James Curran, Danny Chang", "Maintainer": "James Curran ", "Description": "Data and miscellanea to support the book \"Introduction to\nData analysis with R for Forensic Scientists.\" This book was\nwritten by James Curran and published by CRC Press in 2010\n(ISBN: 978-1-4200-8826-7).", "License": "GPL (>= 2)", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 10:25:04 UTC", "User": "root" }, "Repository": "https://jmcurran.r-universe.dev", "Date/Publication": "2022-04-11 08:12:33 UTC", "RemoteUrl": "https://github.com/cran/dafs", "RemoteRef": "HEAD", "RemoteSha": "3288237c8c1b83744ec00a6665f557dd99782627", "MD5sum": "bedb867b1b5677fa5585f8d2befdccc9", "_user": "jmcurran", "_type": "src", "_file": "dafs_1.0-38.tar.gz", "_fileid": "76ee866404355c78e58372d590b22eaa0a0317402f85dcb4e2e7ccb4c2c1cfa1", "_filesize": 230411, "_sha256": "76ee866404355c78e58372d590b22eaa0a0317402f85dcb4e2e7ccb4c2c1cfa1", "_created": "2026-05-25T10:25:04.000Z", "_published": "2026-05-25T10:27:21.573Z", "_distro": "noble", "_jobs": [ { "job": 77695826358, "time": 103, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7196380226" }, { "job": 77695826372, "time": 103, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7196380131" }, { "job": 77695826484, "time": 67, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7196372017" }, { "job": 77695826360, "time": 75, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7196373428" }, { "job": 77695536069, "time": 142, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7196354919" }, { "job": 77695826363, "time": 87, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7196376513" }, { "job": 77695826407, "time": 82, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7196375562" }, { "job": 77695826437, "time": 78, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7196374296" }, { "job": 77695826429, "time": 97, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7196378741" } ], "_buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/dafs", "_commit": { "id": "3288237c8c1b83744ec00a6665f557dd99782627", "author": "James Curran ", "committer": "cran-robot ", "message": "version 1.0-38\n", "time": 1649664753 }, "_maintainer": { "name": "James Curran", "email": "j.curran@auckland.ac.nz", "login": "jmcurran", "orcid": "0000-0003-3323-6733", "description": "Professor of Statistics at the University of Auckland. Keen cyclist and gamer.", "uuid": 1457367 }, "_registered": true, "_dependencies": [ { "package": "s20x", "role": "Depends" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_contributors": [ { "user": "jmcurran", "count": 1, "uuid": 1457367 } ], "_userbio": { "uuid": 1457367, "type": "user", "name": "James Curran", "description": "Professor of Statistics at the University of Auckland. Keen cyclist and gamer." }, "_downloads": { "count": 276, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/dafs" }, "_searchresults": 23, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/dafs.html", "manual.pdf" ], "_realowner": "jmcurran", "_cranurl": false, "_releases": [ { "version": "1.0-34", "date": "2010-07-29" }, { "version": "1.0-35", "date": "2010-08-13" }, { "version": "1.0-36", "date": "2011-03-21" }, { "version": "1.0-37", "date": "2012-05-11" }, { "version": "1.0-38", "date": "2022-04-11" } ], "_exports": [ "fitPvalue", "fmtST", "formatScientificTeX", "intPlot", "last", "pairsDAFS", "plotBoth", "plotBoth.control", "plotRegDiagPlots", "printCI", "pvalue", "Rsq", "shadeDens", "StangleBook", "SweaveBook" ], "_datasets": [ { "name": "abaz.df", "title": "DNA from drinking containers", "object": "abaz.df", "file": "abaz.df.txt.gz", "class": [ "data.frame" ], "fields": [ "person", "sample", "ab.sample", "time", "amylase", "quant", "amp.volume", "dna.conc", "gel.profile", "failed.profile", "d3", "vwa", "d16", "d2", "amelogenin", "d8", "d21", "d18", "d19", "th01", "fga" ], "rows": 114, "table": true, "tojson": true }, { "name": "abduct.age.df", "title": "Victim abduct and the age data", "object": "abduct.age.df", "file": "abduct.age.df.txt.gz", "class": [ "data.frame" ], "fields": [ "abduct", "age" ], "rows": 353, "table": true, "tojson": true }, { "name": "anneal.df", "title": "Annealing float glass", "object": "anneal.df", "file": "anneal.df.txt.gz", "class": [ "data.frame" ], "fields": [ "temp", "ri", "anneal" ], "rows": 900, "table": true, "tojson": true }, { "name": "anscombe.df", "title": "Anscombe quartet", "object": "anscombe.df", "file": "anscombe.df.txt.gz", "class": [ "data.frame" ], "fields": [ "set", "x", "y" ], "rows": 44, "table": true, "tojson": true }, { "name": "bennett.df", "title": "Bennett data", "object": "bennett.df", "file": "bennett.df.txt.gz", "class": [ "data.frame" ], "fields": [ "X1", "X2", "X3", "X4", "X5", "X6", "X7", "X8", "X9", "X10", "X11", "X12", "X13", "X14", "X15", "X16", "X17", "X18", "X19", "X20", "X21", "X22", "X23", "X24", "X25", "X26", "X27", "X28", "X29", "X30", "X31", "X32", "X33", "X34", "X35", "X36", "X37", "X38", "X39", "X40", "X41", "X42", "X43", "X44", "X45", "X46", "X47", "X48", "X49" ], "rows": 10, "table": true, "tojson": true }, { "name": "bottle.df", "title": "Bottle data", "object": "bottle.df", "file": "bottle.df.txt.gz", "class": [ "data.frame" ], "fields": [ "Number", "Part", "Mn", "Ba", "Sr", "Zr", "Ti" ], "rows": 120, "table": true, "tojson": true }, { "name": "casework.df", "title": "Casework RI data", "object": "casework.df", "file": "casework.df.txt.gz", "class": [ "data.frame" ], "fields": [ "temp", "ri", "gp" ], "rows": 20, "table": true, "tojson": true }, { "name": "cck196.df", "title": "CCK-196G/A data", "object": "cck196.df", "file": "cck196.df.txt.gz", "class": [ "data.frame" ], "fields": [ "response", "gender", "genotype" ], "rows": 481, "table": true, "tojson": true }, { "name": "cck45.df", "title": "CCK-45C/T data", "object": "cck45.df", "file": "cck45.df.txt.gz", "class": [ "data.frame" ], "fields": [ "response", "gender", "genotype" ], "rows": 482, "table": true, "tojson": true }, { "name": "docexam.df", "title": "Misleading signatures data", "object": "docexam.df", "file": "docexam.df.txt.gz", "class": [ "data.frame" ], "fields": [ "subject", "genuine", "simulated" ], "rows": 15, "table": true, "tojson": true }, { "name": "dpd.df", "title": "Deoxypyridinoline data", "object": "dpd.df", "file": "dpd.df.txt.gz", "class": [ "data.frame" ], "fields": [ "sample", "age", "sex", "molar", "dpd.ratio", "est.age", "assoc.error", "real.error" ], "rows": 22, "table": true, "tojson": true }, { "name": "fiber.color.df", "title": "Textile fibres in human hair data", "object": "fiber.color.df", "file": "fiber.color.df.txt.gz", "class": [ "data.frame" ], "fields": [ "color", "ppn", "count" ], "rows": 8, "table": true, "tojson": true }, { "name": "gc.df", "title": "FBI-Gc data", "object": "gc.df", "file": "gc.df.txt.gz", "class": [ "data.frame" ], "fields": [ "id", "gc1", "gc2", "racecode", "genotype" ], "rows": 612, "table": true, "tojson": true }, { "name": "ghb.df", "title": "Gamma-hydroxybutyric acid data", "object": "ghb.df", "file": "ghb.df.txt.gz", "class": [ "data.frame" ], "fields": [ "sample", "group1", "group2", "group3" ], "rows": 30, "table": true, "tojson": true }, { "name": "gustafson.df", "title": "Teeth data", "object": "gustafson.df", "file": "gustafson.df.txt.gz", "class": [ "data.frame" ], "fields": [ "TN", "Age", "A", "P", "S", "C", "R", "T", "TP" ], "rows": 41, "table": true, "tojson": true }, { "name": "jauhari1.df", "title": "Pellet pattern data 1", "object": "jauhari1.df", "file": "jauhari1.df.txt.gz", "class": [ "data.frame" ], "fields": [ "shot", "size", "screen" ], "rows": 20, "table": true, "tojson": true }, { "name": "jauhari2.df", "title": "Pellet pattern data 2", "object": "jauhari2.df", "file": "jauhari2.df.txt.gz", "class": [ "data.frame" ], "fields": [ "shot", "size", "distance" ], "rows": 60, "table": true, "tojson": true }, { "name": "kent.df", "title": "Chest deflection tolerance", "object": "kent.df", "file": "kent.df.txt.gz", "class": [ "data.frame" ], "fields": [ "load.cond", "cmax", "fractures", "age", "gender", "testif" ], "rows": 93, "table": true, "tojson": true }, { "name": "kerckring.df", "title": "Kerckring data", "object": "kerckring.df", "file": "kerckring.df.txt.gz", "class": [ "data.frame" ], "fields": [ "condition", "race" ], "rows": 63, "table": true, "tojson": true }, { "name": "liver.df", "title": "Liver data", "object": "liver.df", "file": "liver.df.txt.gz", "class": [ "data.frame" ], "fields": [ "sids", "emh" ], "rows": 153, "table": true, "tojson": true }, { "name": "morphine.df", "title": "Morphine concentration in heart and perpipheral blood samples", "object": "morphine.df", "file": "morphine.df.txt.gz", "class": [ "data.frame" ], "fields": [ "subject", "loc", "type", "conc" ], "rows": 252, "table": true, "tojson": true }, { "name": "nasal.spline.df", "title": "Nasal spine data", "object": "nasal.spline.df", "file": "nasal.spline.df.txt.gz", "class": [ "data.frame" ], "fields": [ "condition", "race" ], "rows": 62, "table": true, "tojson": true }, { "name": "newton.df", "title": "Glass strata data", "object": "newton.df", "file": "newton.df.txt.gz", "class": [ "data.frame" ], "fields": [ "ri", "stratum" ], "rows": 150, "table": true, "tojson": true }, { "name": "nzglass.df", "title": "New Zealand glass RI data", "object": "nzglass.df", "file": "nzglass.df.txt.gz", "class": [ "data.frame" ], "fields": [ "ri" ], "rows": 2656, "table": true, "tojson": true }, { "name": "palatal.df", "title": "Palatal arch shape data", "object": "palatal.df", "file": "palatal.df.txt.gz", "class": [ "data.frame" ], "fields": [ "condition", "race" ], "rows": 61, "table": true, "tojson": true }, { "name": "ri.calibration.df", "title": "Combined calibration data", "object": "ri.calibration.df", "file": "ri.calibration.df.txt.gz", "class": [ "data.frame" ], "fields": [ "standard", "ri", "temp", "owner" ], "rows": 120, "table": true, "tojson": true }, { "name": "ri.calibration2.df", "title": "GRIM2 calibration data", "object": "ri.calibration2.df", "file": "ri.calibration2.df.txt.gz", "class": [ "data.frame" ], "fields": [ "Standard", "RI", "MT1", "MT2", "MT3", "MT4", "MT5" ], "rows": 12, "table": true, "tojson": true }, { "name": "salting1.df", "title": "Salting out effects in forensic blood alcohol determination", "object": "salting1.df", "file": "salting1.df.txt.gz", "class": [ "data.frame" ], "fields": [ "subject", "tube", "rep", "conc", "NaF" ], "rows": 36, "table": true, "tojson": true }, { "name": "salting2.df", "title": "Salting out effects in forensic blood alcohol determination", "object": "salting2.df", "file": "salting2.df.txt.gz", "class": [ "data.frame" ], "fields": [ "subject", "time", "NaF", "EtOH", "t" ], "rows": 24, "table": true, "tojson": true }, { "name": "sex.age.df", "title": "Victims data", "object": "sex.age.df", "file": "sex.age.df.txt.gz", "class": [ "data.frame" ], "fields": [ "gender", "age" ], "rows": 409, "table": true, "tojson": true }, { "name": "shotgun.df", "title": "Shotgun data", "object": "shotgun.df", "file": "shotgun.df.txt.gz", "class": [ "data.frame" ], "fields": [ "range", "sqrt.area", "gun", "expt" ], "rows": 70, "table": true, "tojson": true }, { "name": "squamous.df", "title": "Occipital squamous bone data", "object": "squamous.df", "file": "squamous.df.txt.gz", "class": [ "data.frame" ], "fields": [ "condition", "race" ], "rows": 57, "table": true, "tojson": true }, { "name": "tryptase.df", "title": "Tryptase data", "object": "tryptase.df", "file": "tryptase.df.txt.gz", "class": [ "data.frame" ], "fields": [ "id", "Tryp.fem", "Tryp.cor", "Diagnosis", "Petechiae", "Position", "Resuscitated", "Gender", "Age" ], "rows": 60, "table": true, "tojson": true }, { "name": "velocity.df", "title": "Calibration data", "object": "velocity.df", "file": "velocity.df.txt.gz", "class": [ "data.frame" ], "fields": [ "g", "gr", "velocity" ], "rows": 30, "table": true, "tojson": true }, { "name": "vhcdt.df", "title": "Vitreous Humour Carbohydrate Deficient Transferrin", "object": "vhcdt.df", "file": "vhcdt.df.txt.gz", "class": [ "data.frame" ], "fields": [ "age", "alc", "vhcdt1", "vhcdt2", "vhtf", "td", "th" ], "rows": 28, "table": true, "tojson": true }, { "name": "wong.df", "title": "Glass fragments data", "object": "wong.df", "file": "wong.df.txt.gz", "class": [ "data.frame" ], "fields": [ "Expt", "V", "H", "P", "Count" ], "rows": 54, "table": true, "tojson": true } ], "_help": [ { "page": "abaz.df", "title": "DNA from drinking containers", "topics": [ "abaz.df" ] }, { "page": "abduct.age.df", "title": "Victim abduct and the age data", "topics": [ "abduct.age.df" ] }, { "page": "anneal.df", "title": "Annealing float glass", "topics": [ "anneal.df" ] }, { "page": "anscombe.df", "title": "Anscombe quartet", "topics": [ "anscombe.df" ] }, { "page": "bennett.df", "title": "Bennett data", "topics": [ "bennett.df" ] }, { "page": "bottle.df", "title": "Bottle data", "topics": [ "bottle.df" ] }, { "page": "casework.df", "title": "Casework RI data", "topics": [ "casework.df" ] }, { "page": "cck196.df", "title": "CCK-196G/A data", "topics": [ "cck196.df" ] }, { "page": "cck45.df", "title": "CCK-45C/T data", "topics": [ "cck45.df" ] }, { "page": "docexam.df", "title": "Misleading signatures data", "topics": [ "docexam.df" ] }, { "page": "dpd.df", "title": "Deoxypyridinoline data", "topics": [ "dpd.df" ] }, { "page": "fiber.color.df", "title": "Textile fibres in human hair data", "topics": [ "fiber.color.df" ] }, { "page": "fitPvalue", "title": "Return the P-value from an F-test for a linear model", "topics": [ "fitPvalue" ] }, { "page": "formatScientificTeX", "title": "Format a number in scientific notation into LaTeX.", "topics": [ "fmtST", "formatScientificTeX" ] }, { "page": "gc.df", "title": "FBI-Gc data", "topics": [ "gc.df" ] }, { "page": "ghb.df", "title": "Gamma-hydroxybutyric acid data", "topics": [ "ghb.df" ] }, { "page": "gustafson.df", "title": "Teeth data", "topics": [ "gustafson.df" ] }, { "page": "halfnorm", "title": "Produce a half normal plot", "topics": [ "halfnorm" ] }, { "page": "intPlot", "title": "Modified Interactions Plot for Two-way Analysis of Variance", "topics": [ "intPlot", "intPlot.default", "intPlot.formula" ] }, { "page": "jauhari1.df", "title": "Pellet pattern data 1", "topics": [ "jauhari1.df" ] }, { "page": "jauhari2.df", "title": "Pellet pattern data 2", "topics": [ "jauhari2.df" ] }, { "page": "kent.df", "title": "Chest deflection tolerance", "topics": [ "kent.df" ] }, { "page": "kerckring.df", "title": "Kerckring data", "topics": [ "kerckring.df" ] }, { "page": "last", "title": "Return the last element of a vector.", "topics": [ "last" ] }, { "page": "liver.df", "title": "Liver data", "topics": [ "liver.df" ] }, { "page": "morphine.df", "title": "Morphine concentration in heart and perpipheral blood samples", "topics": [ "morphine.df" ] }, { "page": "nasal.spline.df", "title": "Nasal spine data", "topics": [ "nasal.spline.df" ] }, { "page": "newton.df", "title": "Glass strata data", "topics": [ "newton.df" ] }, { "page": "nzglass.df", "title": "New Zealand glass RI data", "topics": [ "nzglass.df" ] }, { "page": "pairsDAFS", "title": "Modified Pairwise Scatter Plots with Histograms and Correlations", "topics": [ "pairsDAFS" ] }, { "page": "palatal.df", "title": "Palatal arch shape data", "topics": [ "palatal.df" ] }, { "page": "plotBoth", "title": "Produce postscript and pdf images simulataneously", "topics": [ "plotBoth" ] }, { "page": "plotBoth.control", "title": "Control over plotBoth function", "topics": [ "plotBoth.control" ] }, { "page": "plotRegDiagPlots", "title": "Plot some standard regression diagnostic plots", "topics": [ "plotRegDiagPlots" ] }, { "page": "printANODEVTable", "title": "Print an analysis of deviance (ANODEV) table for a GLM", "topics": [ "printANODEVTable" ] }, { "page": "printANOVATable", "title": "Print a ANOVA table for a Normal GLM", "topics": [ "printANOVATable" ] }, { "page": "printCI", "title": "Produce a formatted confidence interval", "topics": [ "printCI" ] }, { "page": "printRegTable", "title": "Print a regression table", "topics": [ "printRegTable" ] }, { "page": "pvalue", "title": "Formats an P-value figure for LaTeX", "topics": [ "pvalue" ] }, { "page": "ri.calibration.df", "title": "Combined calibration data", "topics": [ "ri.calibration.df" ] }, { "page": "ri.calibration2.df", "title": "GRIM2 calibration data", "topics": [ "ri.calibration2.df" ] }, { "page": "Rsq", "title": "Formats an R-squared figure for LaTeX", "topics": [ "Rsq" ] }, { "page": "salting1.df", "title": "Salting out effects in forensic blood alcohol determination", "topics": [ "salting1.df" ] }, { "page": "salting2.df", "title": "Salting out effects in forensic blood alcohol determination", "topics": [ "salting2.df" ] }, { "page": "sex.age.df", "title": "Victims data", "topics": [ "sex.age.df" ] }, { "page": "shadeDens", "title": "Add a shaded region to a pdf plot", "topics": [ "shadeDens" ] }, { "page": "shotgun.df", "title": "Shotgun data", "topics": [ "shotgun.df" ] }, { "page": "squamous.df", "title": "Occipital squamous bone data", "topics": [ "squamous.df" ] }, { "page": "StangleBook", "title": "Stangle a set of files", "topics": [ "StangleBook" ] }, { "page": "SweaveBook", "title": "Sweave a set of files", "topics": [ "SweaveBook" ] }, { "page": "tryptase.df", "title": "Tryptase data", "topics": [ "tryptase.df" ] }, { "page": "velocity.df", "title": "Calibration data", "topics": [ "velocity.df" ] }, { "page": "vhcdt.df", "title": "Vitreous Humour Carbohydrate Deficient Transferrin", "topics": [ "vhcdt.df" ] }, { "page": "wong.df", "title": "Glass fragments data", "topics": [ "wong.df" ] } ], "_rundeps": [ "s20x" ], "_score": 1.3617278360175928, "_indexed": true, "_nocasepkg": "dafs", "_universes": [ "jmcurran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0-38", "date": "2026-05-25T10:26:47.000Z", "distro": "noble", "commit": "3288237c8c1b83744ec00a6665f557dd99782627", "fileid": "78af615b4db3124e8e0123f86c67a27884340d4fe5bb13100e2e06317b645598", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727" }, { "r": "4.6.0", "os": "linux", "version": "1.0-38", "date": "2026-05-25T10:26:48.000Z", "distro": "noble", "commit": "3288237c8c1b83744ec00a6665f557dd99782627", "fileid": "cde79c30f66d80448934f594806727195e6c7baeb81717334be8339f78a28105", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727" }, { "r": "4.5.3", "os": "mac", "version": "1.0-38", "date": "2026-05-25T10:26:20.000Z", "commit": "3288237c8c1b83744ec00a6665f557dd99782627", "fileid": "c0d55e3a11bbcb791eadd60e31e0edb450c4f21f1b9ea698f6c8b10dc5cdf3d9", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727" }, { "r": "4.6.0", "os": "mac", "version": "1.0-38", "date": "2026-05-25T10:26:24.000Z", "commit": "3288237c8c1b83744ec00a6665f557dd99782627", "fileid": "9da996d993ed217b6eaf6fb9c18af359a05ba7325fa553556f2200b110b30507", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727" }, { "r": "4.6.0", "os": "wasm", "version": "1.0-38", "date": "2026-05-25T10:26:48.000Z", "commit": "3288237c8c1b83744ec00a6665f557dd99782627", "fileid": "181a16f0fbd335a0390f5d81a382689c916d6748f0e0e33d75a38f4a2a2de9be", "status": "success", "buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727" }, { "r": "4.7.0", "os": "win", "version": "1.0-38", "date": "2026-05-25T10:26:22.000Z", "commit": "3288237c8c1b83744ec00a6665f557dd99782627", "fileid": "1250ad3bf15d6275708774b5565efe054fd0ef40b31dde007966a6a3d30f744c", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727" }, { "r": "4.5.3", "os": "win", "version": "1.0-38", "date": "2026-05-25T10:26:16.000Z", "commit": "3288237c8c1b83744ec00a6665f557dd99782627", "fileid": "59219f160a7de5b2f319744d023f6240028bd43ea758c121efbbd07dcdd6907e", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727" }, { "r": "4.6.0", "os": "win", "version": "1.0-38", "date": "2026-05-25T10:26:33.000Z", "commit": "3288237c8c1b83744ec00a6665f557dd99782627", "fileid": "107b38e29d5ada135f9cbcf905919ac15cb8147c1e853518174dd276cc099b61", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/jmcurran/actions/runs/26395626727" } ] }