{ "_id": "6a17fe8bacfb0bcc41dab3c0", "Package": "anthrocheckr", "Type": "Package", "Title": "Anthropometric Measurement Standardisation Tests", "Version": "0.1.0.9000", "Authors@R": "person(given = \"Ernest\", \nfamily = \"Guevarra\",\ncomment = c(ORCID = \"0000-0002-4887-4415\"),\nemail = \"ernest@guevarra.io\",\nrole = c(\"aut\", \"cre\"))", "Description": "Ensuring the precision and accuracy of measurements is\ncritical when collecting anthropometric data. Anthropometrists\nare usually tested for precision and accuracy of measurement\nthrough standardisation tests performed prior to anthropometric\ndata collection. This package provides functions to calculate\ninter- and intra-observer technical error of measurement (TEM)\nto assess precision of measurements.", "License": "GPL-3", "Encoding": "UTF-8", "Language": "en-GB", "LazyData": "true", "RoxygenNote": "7.3.3", "URL": "https://nutriverse.io/anthrocheckr/,\nhttps://github.com/nutriverse/anthrocheckr", "BugReports": "https://github.com/nutriverse/anthrocheckr/issues", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake make libuv1-dev zlib1g-dev", "Repository": "https://nutriverse.r-universe.dev", "Date/Publication": "2026-01-28 06:23:08 UTC", "RemoteUrl": "https://github.com/nutriverse/anthrocheckr", "RemoteRef": "HEAD", "RemoteSha": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 08:33:38 UTC", "User": "root" }, "Author": "Ernest Guevarra [aut, cre] (ORCID:\n)", "Maintainer": "Ernest Guevarra ", "MD5sum": "5d56fbe9ed5ef28aec069033ea491df5", "_user": "nutriverse", "_type": "src", "_file": "anthrocheckr_0.1.0.9000.tar.gz", "_fileid": "134540f9b32723cf48b6d6f4e9e617a3c53f49cd63d3d418c4c3d66a2f4bbeea", "_filesize": 3670398, "_sha256": "134540f9b32723cf48b6d6f4e9e617a3c53f49cd63d3d418c4c3d66a2f4bbeea", "_created": "2026-05-28T08:33:38.000Z", "_published": "2026-05-28T08:36:27.922Z", "_distro": "noble", "_jobs": [ { "job": 78253762340, "time": 137, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7261358226" }, { "job": 78253762272, "time": 139, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7261358744" }, { "job": 78253762308, "time": 85, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7261338797" }, { "job": 78253762275, "time": 99, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7261344053" }, { "job": 78253231676, "time": 196, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7261309150" }, { "job": 78253762312, "time": 107, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7261346825" }, { "job": 78253762396, "time": 77, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7261336395" }, { "job": 78253762323, "time": 91, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7261341836" }, { "job": 78253762310, "time": 100, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7261344207" } ], "_buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/nutriverse/anthrocheckr", "_commit": { "id": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "author": "Ernest Guevarra <5742010+ernestguevarra@users.noreply.github.com>", "committer": "GitHub ", "message": "Merge pull request #54 from nutriverse/dev\n\nadd website to _pkgdown.yml", "time": 1769581388 }, "_maintainer": { "name": "Ernest Guevarra", "email": "ernest@guevarra.io", "login": "ernestguevarra", "mastodon": "@ernestguevarra@mastodon.social", "bluesky": "@ernest.guevarra.io", "linkedin": "in/ernestguevarra", "orcid": "0000-0002-4887-4415", "description": "Public Health Specialist, Spatial Epidemiologist, R Developer\n", "uuid": 5742010 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "methods", "role": "Imports" }, { "package": "shiny", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "tidyr", "role": "Suggests" }, { "package": "readxl", "role": "Suggests" }, { "package": "openxlsx", "role": "Suggests" }, { "package": "shinydashboard", "role": "Suggests" }, { "package": "spelling", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "dplyr", "role": "Suggests" }, { "package": "covr", "role": "Suggests" } ], "_owner": "nutriverse", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-05", "n": 5 } ], "_tags": [], "_topics": [ "anthropometry", "standardisation" ], "_stars": 4, "_contributors": [ { "user": "ernestguevarra", "count": 196, "uuid": 5742010 } ], "_userbio": { "uuid": 35688971, "type": "organization", "name": "nutriverse", "description": "Developing an integrated collection of R packages designed to support and facilitate various nutrition data analytics." }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/anthrocheckr" }, "_devurl": "https://github.com/nutriverse/anthrocheckr", "_pkgdown": "https://nutriverse.io/anthrocheckr/", "_searchresults": 6, "_rbuild": "4.6.0", "_assets": [ "extra/anthrocheckr.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_cranurl": false, "_exports": [ "calculate_coeff_r", "calculate_max", "calculate_mean", "calculate_relative_tem", "calculate_sd", "calculate_team_tem", "calculate_tem", "calculate_tem_cohort", "calculate_total_tem", "estimate_bias", "run_anthrocheckr" ], "_datasets": [ { "name": "liberiaStdData", "title": "Dataset from a standardisation exercise done in Liberia in preparation for a coverage survey.", "object": "liberiaStdData", "class": [ "data.frame" ], "fields": [ "eid", "cid", "round", "weight", "height", "muac", "oedema" ], "rows": 744, "table": true, "tojson": true }, { "name": "smartStd", "title": "Standardisation test data - sample 1", "object": "smartStd", "class": [ "data.frame" ], "fields": [ "subject", "observer", "weight1", "weight2", "height1", "height2", "muac1", "muac2" ], "rows": 110, "table": true, "tojson": true }, { "name": "smartStdLong", "title": "Standardisation test data - sample 2", "object": "smartStdLong", "class": [ "data.frame" ], "fields": [ "subject", "observer", "measure_type", "measure_round", "measure_value" ], "rows": 660, "table": true, "tojson": true }, { "name": "smartWide", "title": "Standardisation test data - sample 3", "object": "smartWide", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "subject", "weight_1_supervisor", "weight_2_supervisor", "height_1_supervisor", "height_2_supervisor", "muac_1_supervisor", "muac_2_supervisor", "weight_1_enumerator1", "weight_2_enumerator1", "height_1_enumerator1", "height_2_enumerator1", "muac_1_enumerator1", "muac_2_enumerator1", "weight_1_enumerator2", "weight_2_enumerator2", "height_1_enumerator2", "height_2_enumerator2", "muac_1_enumerator2", "muac_2_enumerator2", "weight_1_enumerator3", "weight_2_enumerator3", "height_1_enumerator3", "height_2_enumerator3", "muac_1_enumerator3", "muac_2_enumerator3", "weight_1_enumerator4", "weight_2_enumerator4", "height_1_enumerator4", "height_2_enumerator4", "muac_1_enumerator4", "muac_2_enumerator4", "weight_1_enumerator5", "weight_2_enumerator5", "height_1_enumerator5", "height_2_enumerator5", "muac_1_enumerator5", "muac_2_enumerator5", "weight_1_enumerator6", "weight_2_enumerator6", "height_1_enumerator6", "height_2_enumerator6", "muac_1_enumerator6", "muac_2_enumerator6", "weight_1_enumerator7", "weight_2_enumerator7", "height_1_enumerator7", "height_2_enumerator7", "muac_1_enumerator7", "muac_2_enumerator7", "weight_1_enumerator8", "weight_2_enumerator8", "height_1_enumerator8", "height_2_enumerator8", "muac_1_enumerator8", "muac_2_enumerator8", "weight_1_enumerator9", "weight_2_enumerator9", "height_1_enumerator9", "height_2_enumerator9", "muac_1_enumerator9", "muac_2_enumerator9", "weight_1_enumerator10", "weight_2_enumerator10", "height_1_enumerator10", "height_2_enumerator10", "muac_1_enumerator10", "muac_2_enumerator10" ], "rows": 10, "table": true, "tojson": true }, { "name": "stature", "title": "Example dataset from *Ulijaszek and Kerr (1999)* containing repeat measurements of stature 'm' carried out by four observers on ten subjects.", "object": "stature", "class": [ "data.frame" ], "fields": [ "subject", "m1", "m2", "m3", "m4", "f1", "f2", "diff" ], "rows": 10, "table": true, "tojson": true } ], "_help": [ { "page": "calculate_coeff_r", "title": "Calculate the coefficient of reliability (R).", "topics": [ "calculate_coeff_r" ] }, { "page": "calculate_summary", "title": "Calculate the mean, sd and maximum difference value of measurements/observations", "topics": [ "calculate_max", "calculate_mean", "calculate_sd" ] }, { "page": "calculate_relative_tem", "title": "Calculate relative TEM of measurements by multiple observers.", "topics": [ "calculate_relative_tem" ] }, { "page": "calculate_team_tem", "title": "Calculate technical error of measurement (TEM) for two or more observers", "topics": [ "calculate_team_tem" ] }, { "page": "calculate_tem", "title": "Calculate technical error of measurement (TEM)", "topics": [ "calculate_tem" ] }, { "page": "calculate_tem_cohort", "title": "Calculate intra-observer TEM for each observer", "topics": [ "calculate_tem_cohort" ] }, { "page": "calculate_total_tem", "title": "Calculate the Total TEM given individual intra-observer TEM.", "topics": [ "calculate_total_tem" ] }, { "page": "estimate_bias", "title": "Calculate bias of a measurement", "topics": [ "estimate_bias" ] }, { "page": "liberiaStdData", "title": "Dataset from a standardisation exercise done in Liberia in preparation for a coverage survey.", "topics": [ "liberiaStdData" ] }, { "page": "run_anthrocheckr", "title": "Run the anthrocheckr Shiny app", "topics": [ "run_anthrocheckr" ] }, { "page": "smartStd", "title": "Standardisation test data - sample 1", "topics": [ "smartStd" ] }, { "page": "smartStdLong", "title": "Standardisation test data - sample 2", "topics": [ "smartStdLong" ] }, { "page": "smartWide", "title": "Standardisation test data - sample 3", "topics": [ "smartWide" ] }, { "page": "stature", "title": "Example dataset from *Ulijaszek and Kerr (1999)* containing repeat measurements of stature `m` carried out by four observers on ten subjects.", "topics": [ "stature" ] } ], "_pkglogo": "https://github.com/nutriverse/anthrocheckr/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/nutriverse/anthrocheckr/raw/HEAD/README.md", "_rundeps": [ "base64enc", "bslib", "cachem", "cli", "commonmark", "digest", "fastmap", "fontawesome", "fs", "glue", "htmltools", "httpuv", "jquerylib", "jsonlite", "later", "lifecycle", "magrittr", "memoise", "mime", "otel", "promises", "R6", "rappdirs", "Rcpp", "rlang", "sass", "shiny", "sourcetools", "withr", "xtable" ], "_vignettes": [ { "source": "anthrocheckr.Rmd", "filename": "anthrocheckr.html", "title": "Anthropometric measurement standardisation tests", "engine": "knitr::rmarkdown", "headings": [ "What does anthrocheckr do?", "Installation", "Usage" ], "created": "2024-12-18 02:11:37", "modified": "2024-12-18 02:11:37", "commits": 1 }, { "source": "standardisation.Rmd", "filename": "standardisation.html", "title": "Anthropometric measurements standardisation test", "engine": "knitr::rmarkdown", "headings": [ "Objectives", "Mechanics", "Test parameters", "Test organisation and requirements", "Timeframe", "Steps in carrying out the standardisation test" ], "created": "2024-12-18 07:41:46", "modified": "2024-12-18 07:41:46", "commits": 1 }, { "source": "tem.Rmd", "filename": "tem.html", "title": "Technical Error of Measurement", "author": "Ernest Guevarra", "engine": "knitr::rmarkdown", "headings": [ "Intra-observer TEM for two measurements, and inter-observer TEM involving two measurers", "Inter-observer TEM with more than two observers", "Relative TEM", "Total TEM for two observers and two measurements per observer", "Total TEM for three observers and two measurements per observer", "Relative total TEM", "Coefficient of Reliability (R)" ], "created": "2018-03-16 06:15:13", "modified": "2024-12-18 07:41:46", "commits": 5 } ], "_score": 3.778151250383644, "_indexed": true, "_nocasepkg": "anthrocheckr", "_universes": [ "nutriverse", "ernestguevarra" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0.9000", "date": "2026-05-28T08:35:52.000Z", "distro": "noble", "commit": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "fileid": "9770b57a22be33b604e81079ce1dcaa0e7eff950ca74c425ce660ec2d41df4d5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0.9000", "date": "2026-05-28T08:35:54.000Z", "distro": "noble", "commit": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "fileid": "545d010c68fe502246f3b9be4588a25ce716aaf9c7b71616537e19cc86dd8dc6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409" }, { "r": "4.5.3", "os": "mac", "version": "0.1.0.9000", "date": "2026-05-28T08:35:05.000Z", "commit": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "fileid": "6ccbeb1d5f93b1ba0b0e19b83dcc89282dbe8faa96b80063e662e9eaddbe1331", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409" }, { "r": "4.6.0", "os": "mac", "version": "0.1.0.9000", "date": "2026-05-28T08:35:19.000Z", "commit": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "fileid": "76cd22984a3999dee3752719cdf3fdf78a38a934de3592dbfb5ab19ce9421d37", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0.9000", "date": "2026-05-28T08:35:40.000Z", "commit": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "fileid": "dd7590dffcbf2224fdd1c4a565e0e5c55fd726cf320a3a195e4fe676d6a14e16", "status": "success", "buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409" }, { "r": "4.7.0", "os": "win", "version": "0.1.0.9000", "date": "2026-05-28T08:34:48.000Z", "commit": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "fileid": "fc341cccacf9b12a9b66bf95ca207bcb6c923df2993eda7feb19cbd2e88aa03e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409" }, { "r": "4.5.3", "os": "win", "version": "0.1.0.9000", "date": "2026-05-28T08:35:04.000Z", "commit": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "fileid": "60dca6689b575f410943788c4424cbcf126d9b9ecebb5fe6157f88cdf232b64e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409" }, { "r": "4.6.0", "os": "win", "version": "0.1.0.9000", "date": "2026-05-28T08:35:10.000Z", "commit": "9369e404dffdca69f7d04c5c8c2e1ba93c999c07", "fileid": "39d6a708021742dda86b29214777389432a02d137f179893eecb65d1da49dce3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nutriverse/actions/runs/26563804409" } ] }