{ "_id": "6a104155acfb0bcc41c9d6c2", "Package": "airt", "Type": "Package", "Title": "Evaluation of Algorithm Collections Using Item Response Theory", "Version": "0.2.3", "Authors@R": "person(\"Sevvandi\", \"Kandanaarachchi\", email = \"sevvandik@gmail.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-0337-0395\"))", "Maintainer": "Sevvandi Kandanaarachchi ", "Description": "An evaluation framework for algorithm portfolios using\nItem Response Theory (IRT). We use continuous and polytomous\nIRT models to evaluate algorithms and introduce algorithm\ncharacteristics such as stability, effectiveness and\nanomalousness (Kandanaarachchi, Smith-Miles 2020)\n.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.1", "VignetteBuilder": "knitr", "URL": "https://sevvandi.github.io/airt/", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libx11-dev", "Repository": "https://sevvandi.r-universe.dev", "Date/Publication": "2024-03-21 23:48:47 UTC", "RemoteUrl": "https://github.com/sevvandi/airt", "RemoteRef": "HEAD", "RemoteSha": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-11 07:54:18 UTC", "User": "root" }, "Author": "Sevvandi Kandanaarachchi [aut, cre] (ORCID:\n)", "MD5sum": "6cf8cdccf16bb0001407a7135323db7b", "_user": "sevvandi", "_type": "src", "_file": "airt_0.2.3.tar.gz", "_fileid": "6310560696c564fb829369b85d0057893cb5efcddfae2e2d6d3cc6f9e4bdc686", "_filesize": 2582605, "_sha256": "6310560696c564fb829369b85d0057893cb5efcddfae2e2d6d3cc6f9e4bdc686", "_created": "2026-05-11T07:54:18.000Z", "_published": "2026-05-22T11:43:17.821Z", "_distro": "noble", "_jobs": [ { "job": 77372562138, "time": 191, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6913132162" }, { "job": 77372562029, "time": 186, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6913130893" }, { "job": 77372562390, "time": 141, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "6913117655" }, { "job": 77372562080, "time": 148, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6913119853" }, { "job": 77372561685, "time": 239, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6913075701" }, { "job": 77372561567, "time": 139, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7159653856" }, { "job": 77372562176, "time": 139, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "6913116915" }, { "job": 77372562427, "time": 146, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "6913119035" }, { "job": 77372562177, "time": 145, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "6913118628" } ], "_buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/sevvandi/airt", "_commit": { "id": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "author": "sevvandi ", "committer": "sevvandi ", "message": "update plot when epsilon = 0\n", "time": 1711064927 }, "_maintainer": { "name": "Sevvandi Kandanaarachchi", "email": "sevvandik@gmail.com", "orcid": "0000-0002-0337-0395" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.4.0", "role": "Depends" }, { "package": "pracma", "role": "Imports" }, { "package": "mirt", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "EstCRM", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "RColorBrewer", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "gridExtra", "role": "Suggests" }, { "package": "scales", "role": "Suggests" } ], "_owner": "sevvandi", "_selfowned": true, "_usedby": 1, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "sevvandi", "count": 22, "uuid": 32561841 } ], "_userbio": { "uuid": 32561841, "type": "user", "name": "Sevvandi Kandanaarachchi", "description": "Senior Research Scientist, Data61, CSIRO" }, "_downloads": { "count": 314, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/airt" }, "_devurl": "https://github.com/sevvandi/airt", "_pkgdown": "https://sevvandi.github.io/airt/", "_searchresults": 8, "_rbuild": "4.6.0", "_assets": [ "extra/airt.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/sevvandi/airt", "_realowner": "sevvandi", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2020-05-12" }, { "version": "0.2.0", "date": "2020-11-23" }, { "version": "0.2.1", "date": "2021-12-17" }, { "version": "0.2.2", "date": "2023-08-08" } ], "_exports": [ "algo_effectiveness_crm", "algo_effectiveness_poly", "autoplot", "cirtmodel", "effectiveness_crm", "effectiveness_poly", "heatmaps_crm", "latent_trait_analysis", "make_polyIRT_data", "model_goodness_crm", "model_goodness_for_algo_crm", "model_goodness_for_algo_poly", "model_goodness_poly", "pirtmodel", "tracelines_poly" ], "_datasets": [ { "name": "classification_cts", "title": "A dataset containing classification algorithm performance data in a continuous format.", "object": "classification_cts", "class": [ "data.frame" ], "fields": [ "NB", "LDA", "QDA", "CART", "J48", "KNN", "L_SVM", "poly_SVM", "RBF_SVM", "RandF" ], "rows": 235, "table": true, "tojson": true }, { "name": "classification_poly", "title": "A dataset containing classification algorithm performance data in a polytomous format.", "object": "classification_poly", "class": [ "matrix", "array" ], "fields": [ "NB", "LDA", "QDA", "CART", "J48", "KNN", "L_SVM", "poly_SVM", "RBF_SVM", "RandF" ], "rows": 235, "table": true, "tojson": true } ], "_help": [ { "page": "algo_effectiveness_crm", "title": "Computes the actual and predicted effectiveness of a given algorithm.", "topics": [ "algo_effectiveness_crm" ] }, { "page": "algo_effectiveness_poly", "title": "Computes the actual and predicted effectiveness of a given algorithm.", "topics": [ "algo_effectiveness_poly" ] }, { "page": "cirtmodel", "title": "Fits a continuous IRT model.", "topics": [ "cirtmodel" ] }, { "page": "classification_cts", "title": "A dataset containing classification algorithm performance data in a continuous format.", "topics": [ "classification_cts" ] }, { "page": "classification_poly", "title": "A dataset containing classification algorithm performance data in a polytomous format.", "topics": [ "classification_poly" ] }, { "page": "effectiveness_crm", "title": "Computes the actual and predicted effectiveness of the collection of algorithms.", "topics": [ "autoplot.effectivenesscrm", "effectiveness_crm" ] }, { "page": "effectiveness_poly", "title": "Computes the actual and predicted effectiveness of the collection of algorithms.", "topics": [ "autoplot.effectivenesspoly", "effectiveness_poly" ] }, { "page": "heatmaps_crm", "title": "Function to produce heatmaps from a continuous IRTmodel", "topics": [ "autoplot.heatmapcrm", "heatmaps_crm" ] }, { "page": "latent_trait_analysis", "title": "Performs the latent trait analysis", "topics": [ "autoplot.latenttrait", "latent_trait_analysis" ] }, { "page": "make_polyIRT_data", "title": "Converts continuous performance data to polytomous data with 5 categories.", "topics": [ "make_polyIRT_data" ] }, { "page": "model_goodness_crm", "title": "Computes the goodness of IRT model for all algorithms.", "topics": [ "autoplot.modelgoodnesscrm", "model_goodness_crm" ] }, { "page": "model_goodness_for_algo_crm", "title": "Computes the goodness of IRT model for a given algorithm.", "topics": [ "model_goodness_for_algo_crm" ] }, { "page": "model_goodness_for_algo_poly", "title": "Computes the goodness of the IRT model fit for a given algorithm.", "topics": [ "model_goodness_for_algo_poly" ] }, { "page": "model_goodness_poly", "title": "Computes the goodness of IRT model for all algorithms.", "topics": [ "autoplot.modelgoodnesspoly", "model_goodness_poly" ] }, { "page": "pirtmodel", "title": "Fits a polytomous IRT model.", "topics": [ "pirtmodel" ] }, { "page": "tracelines_poly", "title": "Function to plot tracelines from a polytomous IRTmodel", "topics": [ "autoplot.tracelinespoly", "tracelines_poly" ] } ], "_pkglogo": "https://github.com/sevvandi/airt/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/sevvandi/airt/raw/HEAD/README.md", "_rundeps": [ "audio", "backports", "base64enc", "beepr", "brio", "bslib", "cachem", "callr", "checkmate", "class", "cli", "clipr", "cluster", "codetools", "colorspace", "cpp11", "crayon", "data.table", "dcurver", "Deriv", "desc", "diffobj", "digest", "dplyr", "e1071", "EstCRM", "evaluate", "farver", "fastmap", "fontawesome", "foreign", "Formula", "fs", "future", "future.apply", "generics", "ggplot2", "globals", "glue", "GPArotation", "gridExtra", "gtable", "highr", "Hmisc", "htmlTable", "htmltools", "htmlwidgets", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "lattice", "lifecycle", "listenv", "magrittr", "MASS", "Matrix", "memoise", "mgcv", "mime", "mirai", "mirt", "nanonext", "nlme", "nnet", "parallelly", "pbapply", "permute", "pillar", "pkgbuild", "pkgconfig", "pkgload", "pracma", "praise", "processx", "progressr", "proxy", "ps", "purrr", "qs2", "R.methodsS3", "R.oo", "R.utils", "R6", "rappdirs", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppParallel", "rlang", "rmarkdown", "rpart", "rprojroot", "rstudioapi", "S7", "sass", "scales", "sessioninfo", "SimDesign", "splines2", "stringfish", "stringi", "stringr", "testthat", "tibble", "tidyr", "tidyselect", "tinytex", "utf8", "vctrs", "vegan", "viridisLite", "waldo", "withr", "xfun", "yaml" ], "_vignettes": [ { "source": "airt.Rmd", "filename": "airt.html", "title": "Introduction to airt", "engine": "knitr::rmarkdown", "headings": [ "Classification Algorithms", "Fitting a Continuous IRT Model to Algorithm Performance Data", "The Problem Difficulty Space and Algorithm Performance", "Strengths and Weaknesses of Algorithms", "Is this a good model? Model Goodness Metrics", "A Polytomous IRT model", "Model Goodness", "References" ], "created": "2020-03-22 00:23:41", "modified": "2024-03-21 09:38:51", "commits": 19 } ], "_score": 4.176091259055681, "_indexed": true, "_nocasepkg": "airt", "_universes": [ "sevvandi" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2.3", "date": "2026-05-11T07:56:51.000Z", "distro": "noble", "commit": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "fileid": "72401e158733bd8ba24f5aea3401667146a9c04d1e3fd35fa1e8732933a23190", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296" }, { "r": "4.6.0", "os": "linux", "version": "0.2.3", "date": "2026-05-11T07:56:48.000Z", "distro": "noble", "commit": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "fileid": "1c8cb3efd0b8accf6ca425cda9464eb06fef87ba9082bd21629bc007a467d801", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296" }, { "r": "4.5.3", "os": "mac", "version": "0.2.3", "date": "2026-05-11T07:56:08.000Z", "commit": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "fileid": "5ed140358da40ef9eea0f1b36a9901ca9a1b4355b744f9b62f938282e16cdc6a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296" }, { "r": "4.6.0", "os": "mac", "version": "0.2.3", "date": "2026-05-11T07:56:19.000Z", "commit": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "fileid": "688215d60c34a497b4fb2493a2dbccc806190b5d804a3923e684716ced71e2cd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296" }, { "r": "4.7.0", "os": "win", "version": "0.2.3", "date": "2026-05-11T07:55:43.000Z", "commit": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "fileid": "f5d8432b0067a52b9cf17fad99e1079144c00efa51a17b337e9d592562a061b8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296" }, { "r": "4.5.3", "os": "win", "version": "0.2.3", "date": "2026-05-11T07:55:49.000Z", "commit": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "fileid": "b342ab0c98f97babf4d65e64db2b8d27cde536acb659d0a1d18c96dab9e92651", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296" }, { "r": "4.6.0", "os": "win", "version": "0.2.3", "date": "2026-05-11T07:55:52.000Z", "commit": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "fileid": "b3cde59c4340ad4715dd836958fd4fdd00c80617899c5ffaf4e574d16ee07f8f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296" }, { "r": "4.6.0", "os": "wasm", "version": "0.2.3", "date": "2026-05-22T11:42:46.000Z", "commit": "ff32b1c20b5c4ff5978ea1762c23fd0c039c2ea0", "fileid": "63f71f17923a432495955ec10cfa08bf7c35ea1acb6de5ae558bab378c76a8ed", "status": "success", "buildurl": "https://github.com/r-universe/sevvandi/actions/runs/25657378296" } ] }