{ "_id": "6a1f02d6b401979e7341b3d4", "Package": "celltrackR", "Type": "Package", "Title": "Motion Trajectory Analysis", "Date": "2025-09-19", "Version": "1.2.2", "Authors@R": "c(person(\"Johannes\", \"Textor\", role = c(\"aut\",\"cre\"),\nemail = \"johannes.textor@gmx.de\"),\nperson(\"Katharina\", \"Dannenberg\", role = \"aut\"),\nperson(\"Jeffrey\", \"Berry\", role = \"aut\" ),\nperson(\"Gerhard\", \"Burger\", role = \"aut\"),\nperson(\"Annie\",\"Liu\", role= \"aut\"),\nperson(\"Mark\",\"Miller\", role= \"aut\"),\nperson(\"Inge\", \"Wortel\", role = c(\"aut\"),\nemail = \"ingewortel@gmail.com\"))", "Author": "Johannes Textor [aut, cre], Katharina Dannenberg [aut], Jeffrey\nBerry [aut], Gerhard Burger [aut], Annie Liu [aut], Mark Miller\n[aut], Inge Wortel [aut]", "Maintainer": "Johannes Textor ", "Description": "Methods for analyzing (cell) motion in two or three\ndimensions. Available measures include displacement,\nconfinement ratio, autocorrelation, straightness, turning\nangle, and fractal dimension. Measures can be applied to entire\ntracks, steps, or subtracks with varying length. While the\nmethodology has been developed for cell trajectory analysis, it\nis applicable to anything that moves including animals, people,\nor vehicles. Some of the methodology implemented in this\npackages was described by: Beauchemin, Dixit, and Perelson\n(2007) , Beltman, Maree, and\nde Boer (2009) , Gneiting and Schlather\n(2004) , Mokhtari, Mech,\nZitzmann, Hasenberg, Gunzer, and Figge (2013)\n, Moreau, Lemaitre, Terriac,\nAzar, Piel, Lennon-Dumenil, and Bousso (2012)\n, Textor, Peixoto,\nHenrickson, Sinn, von Andrian, and Westermann (2011)\n, Textor, Sinn, and de Boer (2013)\n, Textor, Henrickson, Mandl,\nvon Andrian, Westermann, de Boer, and Beltman (2014)\n.", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "URL": "http://www.motilitylab.net", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-18 08:16:29 UTC", "User": "root" }, "Repository": "https://jtextor.r-universe.dev", "Date/Publication": "2025-09-19 18:41:59 UTC", "RemoteUrl": "https://github.com/cran/celltrackR", "RemoteRef": "HEAD", "RemoteSha": "379bad2db51cb9c327985689767d0c3636a9bdce", "MD5sum": "d0d332bcce288809ae1c028301ec4bcf", "_user": "jtextor", "_type": "src", "_file": "celltrackR_1.2.2.tar.gz", "_fileid": "86986afd3e863eca9871dee126e1295626cf86be69363d365707cf26aa73c874", "_filesize": 8324773, "_sha256": "86986afd3e863eca9871dee126e1295626cf86be69363d365707cf26aa73c874", "_created": "2026-05-18T08:16:29.000Z", "_published": "2026-06-02T16:20:38.642Z", "_distro": "noble", "_jobs": [ { "job": 79118898613, "time": 180, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7052752959" }, { "job": 79118898326, "time": 178, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7052751984" }, { "job": 79118898971, "time": 231, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7052759393" }, { "job": 79118898370, "time": 208, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7052746838" }, { "job": 79118897697, "time": 280, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7052696309" }, { "job": 79118897750, "time": 142, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7363564596" }, { "job": 79118898456, "time": 147, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7052742654" }, { "job": 79118898749, "time": 128, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7052736466" }, { "job": 79118899057, "time": 145, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7052742390" } ], "_buildurl": "https://github.com/r-universe/jtextor/actions/runs/26021499937", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/celltrackR", "_commit": { "id": "379bad2db51cb9c327985689767d0c3636a9bdce", "author": "Johannes Textor ", "committer": "cran-robot ", "message": "version 1.2.2\n", "time": 1758307319 }, "_maintainer": { "name": "Johannes Textor", "email": "johannes.textor@gmx.de", "login": "jtextor", "description": "Computational biologist, interested in modelling, Bayesian networks and causality. 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false, "tojson": false }, { "name": "Neutrophils", "title": "Two-Photon Data: Neutrophils responding to an infection in the ear", "object": "Neutrophils", "class": [ "tracks" ], "fields": [], "table": false, "tojson": false }, { "name": "TCells", "title": "Two-Photon Data: T Cells in a Lymph Node", "object": "TCells", "class": [ "tracks" ], "fields": [], "table": false, "tojson": false } ], "_help": [ { "page": "aggregate.tracks", "title": "Compute Summary Statistics of Subtracks", "topics": [ "aggregate", "aggregate.tracks" ] }, { "page": "analyzeCellPairs", "title": "Find Distances and Angles for all Pairs of Tracks", "topics": [ "analyzeCellPairs" ] }, { "page": "analyzeStepPairs", "title": "Find Distances and Angles for all Pairs of Steps", "topics": [ "analyzeStepPairs" ] }, { "page": "AngleAnalysis", "title": "Angle Analysis", "topics": [ "AngleAnalysis" ] }, { "page": "angleCells", "title": "Angle between Two Tracks", "topics": [ "angleCells" ] }, { "page": "angleSteps", "title": "Angle between Two Steps", "topics": [ "angleSteps" ] }, { "page": "angleToDir", "title": "Angle with a Reference Direction", "topics": [ "angleToDir" ] }, { "page": "angleToPlane", "title": "Angle with a Reference Plane", "topics": [ "angleToPlane" ] }, { "page": "angleToPoint", "title": "Angle with a Reference Point", "topics": [ "angleToPoint" ] }, { "page": "applyStaggered", "title": "Compute a Measure on a Track in a Staggered Fashion", "topics": [ "applyStaggered" ] }, { "page": "as.data.frame.tracks", "title": "Convert Tracks to Data Frame", "topics": [ "as.data.frame.tracks" ] }, { "page": "as.list.tracks", "title": "Convert from Tracks to List", "topics": [ "as.list.tracks" ] }, { "page": "as.tracks.data.frame", "title": "Convert from Data Frame to Tracks", "topics": [ "as.tracks.data.frame" ] }, { "page": "BCells", "title": "Two-Photon Data: B Cells in a Lymph Node", "topics": [ "BCells" ] }, { "page": "beaucheminTrack", "title": "Simulate a 3D Cell Track Using the Beauchemin Model", "topics": [ "beaucheminTrack" ] }, { "page": "bootstrapTrack", "title": "Simulate Tracks via Bootstrapping of Speed and Turning Angle from a Real Track Dataset", "topics": [ "bootstrapTrack" ] }, { "page": "boundingBox", "title": "Bounding Box of a Tracks Object", "topics": [ "boundingBox" ] }, { "page": "brownianTrack", "title": "Simulate an Uncorrelated Random Walk", "topics": [ "brownianTrack" ] }, { "page": "cellPairs", "title": "Find Pairs of Tracks", "topics": [ "cellPairs" ] }, { "page": "cheatsheet", "title": "Open the package cheat sheet", "topics": [ "cheatsheet" ] }, { "page": "clusterTracks", "title": "Cluster Tracks", "topics": [ "clusterTracks" ] }, { "page": "distanceCells", "title": "Minimum Distance between Two Cells", "topics": [ "distanceCells" ] }, { "page": "distanceSteps", "title": "Distance between Two Steps", "topics": [ "distanceSteps" ] }, { "page": "distanceToPlane", "title": "Distance to a Reference Plane", "topics": [ "distanceToPlane" ] }, { "page": "distanceToPoint", "title": "Distance to a Reference Point", "topics": [ "distanceToPoint" ] }, { "page": "filterTracks", "title": "Filter Tracks", "topics": [ "filterTracks" ] }, { "page": "get.immap.metadata", "title": "Get Track Metadata from ImmuneMap", "topics": [ "get.immap.metadata" ] }, { "page": "getFeatureMatrix", "title": "Obtaining A Feature Matrix", "topics": [ "getFeatureMatrix" ] }, { "page": "hotellingsTest", "title": "Test Unbiasedness of Motion", "topics": [ "hotellingsTest" ] }, { "page": "interpolateTrack", "title": "Interpolate Track Positions", "topics": [ "interpolateTrack" ] }, { "page": "maxTrackLength", "title": "Length of Longest Track", "topics": [ "maxTrackLength" ] }, { "page": "Neutrophils", "title": "Two-Photon Data: Neutrophils responding to an infection in the ear", "topics": [ "Neutrophils" ] }, { "page": "normalizeToDuration", "title": "Normalize a Measure to Track Duration", "topics": [ "normalizeToDuration" ] }, { "page": "normalizeTracks", "title": "Normalize Tracks", "topics": [ "normalizeTracks" ] }, { "page": "pairsByTime", "title": "Distance between pairs of tracks at every timepoint", "topics": [ "pairsByTime" ] }, { "page": "plot.tracks", "title": "Plot Tracks in 2D", "topics": [ "plot.tracks" ] }, { "page": "plot3d", "title": "Plot Tracks in 3D", "topics": [ "plot3d" ] }, { "page": "plotTrackMeasures", "title": "Bivariate Scatterplot of Track Measures", "topics": [ "plotTrackMeasures" ] }, { "page": "prefixes", "title": "Get Track Prefixes", "topics": [ "prefixes" ] }, { "page": "projectDimensions", "title": "Extract Spatial Dimensions", "topics": [ "projectDimensions" ] }, { "page": "read.tracks.csv", "title": "Read Tracks from Text File", "topics": [ "read.tracks.csv" ] }, { "page": "ReadImmuneMap", "title": "Read tracks from ImmuneMap", "topics": [ "get.immap.tracks", "parse.immap.json", "read.immap.json", "ReadImmuneMap" ] }, { "page": "repairGaps", "title": "Process Tracks Containing Gaps", "topics": [ "repairGaps" ] }, { "page": "selectSteps", "title": "Get Single Steps Starting at a Specific Time from a Subset of Tracks", "topics": [ "selectSteps" ] }, { "page": "selectTracks", "title": "Select Tracks by Measure Values", "topics": [ "selectTracks" ] }, { "page": "simulateTracks", "title": "Generate Tracks by Simulation", "topics": [ "simulateTracks" ] }, { "page": "sort.tracks", "title": "Sort Track Positions by Time", "topics": [ "sort.tracks" ] }, { "page": "splitTrack", "title": "Split Track into Multiple Tracks", "topics": [ "splitTrack" ] }, { "page": "staggered", "title": "Staggered Version of a Function", "topics": [ "staggered" ] }, { "page": "stepPairs", "title": "Find Pairs of Steps Occurring at the Same Time", "topics": [ "stepPairs" ] }, { "page": "subsample", "title": "Subsample Track by Constant Factor", "topics": [ "subsample" ] }, { "page": "subtracks", "title": "Decompose Track(s) into Subtracks", "topics": [ "subtracks" ] }, { "page": "subtracksByTime", "title": "Extract Subtracks Starting at a Specific Time", "topics": [ "subtracksByTime" ] }, { "page": "TCells", "title": "Two-Photon Data: T Cells in a Lymph Node", "topics": [ "TCells" ] }, { "page": "timePoints", "title": "Find All Unique Time Points in a Track Dataset", "topics": [ "timePoints" ] }, { "page": "timeStep", "title": "Compute Time Step of Tracks", "topics": [ "timeStep" ] }, { "page": "trackFeatureMap", "title": "Dimensionality Reduction on Track Features", "topics": [ "trackFeatureMap" ] }, { "page": "TrackMeasures", "title": "Track Measures", "topics": [ "asphericity", "displacement", "displacementRatio", "displacementVector", "duration", "fractalDimension", "hurstExponent", "maxDisplacement", "meanTurningAngle", "outreachRatio", "overallAngle", "overallDot", "overallNormDot", "speed", "squareDisplacement", "straightness", "trackLength", "TrackMeasures" ] }, { "page": "tracks", "title": "Tracks Objects", "topics": [ "as.tracks", "as.tracks.list", 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