{ "_id": "6a5724d0ff0138dec5d6e4bd", "Package": "triangulate", "Title": "Useful functions for performing evidence triangulation", "Version": "0.0.2", "Authors@R": "c(\nperson(given = \"Luke\",\nfamily = \"McGuinness\",\nrole = \"aut\",\nemail = \"luke.mcguinness@bristol.ac.uk\",\ncomment = c(ORCID = \"0000-0001-8730-9761\")),\nperson(given = \"Tassia\",\nfamily = \"Jones\",\nrole = \"aut\",\nemail = \"nv22679@bristol.ac.uk\"),\nperson(given = \"Chin Yang\",\nfamily = \"Shapland\",\nrole = c(\"aut\", \"cre\"),\nemail = \"chinyang.shapland@bristol.ac.uk\")\n)", "Description": "What the package does (one paragraph).", "License": "MIT + file LICENSE", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "URL": "https://mcguinlu.github.io/triangulate,\nhttps://github.com/mcguinlu/triangulate,\nhttps://mrcieu.r-universe.dev/triangulate", "BugReports": "https://github.com/mcguinlu/triangulate/issues", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev zlib1g-dev", "Repository": "https://mrcieu.r-universe.dev", "Date/Publication": "2026-01-16 16:25:15 UTC", "RemoteUrl": "https://github.com/mcguinlu/triangulate", "RemoteRef": "HEAD", "RemoteSha": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-15 06:08:57 UTC", "User": "root" }, "Author": "Luke McGuinness [aut] (ORCID: ),\nTassia Jones [aut],\nChin Yang Shapland [aut, cre]", "Maintainer": "Chin Yang Shapland ", "_user": "mrcieu", "_type": "src", "_file": "triangulate_0.0.2.tar.gz", "_fileid": "https://r2.ropensci.org/8771542da9cb797a05abbf4e0db763025b3565bc306eb02315db6ac74ab243f7", "_filesize": 803364, "_sha256": "8771542da9cb797a05abbf4e0db763025b3565bc306eb02315db6ac74ab243f7", "_expires": "2026-10-23T06:12:30.000Z", "_created": "2026-07-15T06:08:57.000Z", "_published": "2026-07-15T06:12:32.419Z", "_jobs": [ { "job": 87281469677, "time": 170, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8334169959" }, { "job": 87281469694, "time": 158, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8334166855" }, { "job": 87281469710, "time": 102, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "8334149755" }, { "job": 87281469685, "time": 84, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8334144230" }, { "job": 87280875305, "time": 254, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8334119013" }, { "job": 87281469644, "time": 120, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8334155196" }, { "job": 87281469718, "time": 103, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "8334149795" }, { "job": 87281469697, "time": 117, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "8334154507" }, { "job": 87281469698, "time": 96, "config": "windows-release", "r": "4.6.1", "check": "OK", "artifact": "8334148323" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689", "_status": "success", "_upstream": "https://github.com/mcguinlu/triangulate", "_commit": { "id": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "author": "CYShapland <59094148+CYShapland@users.noreply.github.com>", "committer": "GitHub ", "message": "Merge pull request #11 from CYShapland/tassia-vignette-edits\n\nadjusted the plot size for the vignette", "time": 1768580715 }, "_maintainer": { "name": "Chin Yang Shapland", "email": "chinyang.shapland@bristol.ac.uk", "login": "cyshapland", "description": "Research Fellow at MRC Integrative Epidemiology Unit at the University of Bristol", "uuid": 59094148 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "dplyr", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "janitor", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "metadat", "role": "Imports" }, { "package": "metafor", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "shiny", "role": "Imports" }, { "package": "testthat", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "readxl", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "tibble", "role": "Suggests" } ], "_owner": "mcguinlu", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-48", "n": 2 }, { "week": "2025-50", "n": 1 }, { "week": "2026-03", "n": 1 } ], "_tags": [], "_stars": 4, "_contributors": [ { "user": "remlapmot", "count": 40, "uuid": 3777473 }, { "user": "mcguinlu", "count": 19, "uuid": 41202585 }, { "user": "tassiajones", "count": 15, "uuid": 124691407 }, { "user": "cyshapland", "count": 8, "uuid": 59094148 } ], "_userbio": { "uuid": 15654827, "type": "organization", "name": "MRC Integrative Epidemiology Unit", "followers": 251 }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/triangulate" }, "_devurl": "https://github.com/mcguinlu/triangulate", "_searchresults": 10, "_rbuild": "4.6.1", "_assets": [ "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", "extra/triangulate.html", "LICENSE", "manual.pdf" ], "_cranurl": false, "_exports": [ "%>%", "interactive_bias_plot", "tri_absolute_direction", "tri_absolute_direction_invert", "tri_absolute_direction_quick", "tri_append_bias", "tri_append_indirect", "tri_calculate_adjusted_estimates", "tri_dat_check", "tri_plot_bias_direction", "tri_prep_data", "tri_swap_effect_direction", "tri_to_long", "tri_to_wide" ], "_datasets": [ { "name": "beta_carotene_data", "title": "Beta-carotene RoB Judgments (Raw) Domain-level risk of bias judgments for 15 studies of beta-carotene and cardiovascular outcomes.", "object": "beta_carotene_data", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "result_id", "study", "type", "d1j", "d2j", "d3j", "d4j", "d5j", "d6j", "d7j", "d1t", "d2t", "d3t", "d4t", "d5t", "d6t", "d7t", "d1d", "d2d", "d3d", "d4d", "d5d", "d6d", "d7d", "overall" ], "rows": 27, "table": true, "tojson": true }, { "name": "dat_bias", "title": "Example risk of bias assessments", "object": "dat_bias", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "result_id", "study", "type", "yi", "vi", "d1j", "d1t", "d1d", "d2j", "d2t", "d2d", "d3j", "d3t", "d3d", "d4j", "d4t", "d4d", "d5j", "d5t", "d5d", "d6j", "d6t", "d6d", "d7j", "d7t", "d7d" ], "rows": 20, "table": true, "tojson": true }, { "name": "dat_bias_values", "title": "Example priors for the bias adjustment", "object": "dat_bias_values", "class": [ "data.frame" ], "fields": [ "domain", "j", "bias_m_add", "bias_v_add", "bias_m_prop", "bias_v_prop" ], "rows": 3, "table": true, "tojson": true }, { "name": "dat_ind", "title": "Example indirectness assessments", "object": "dat_ind", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "result_id", "study", "type", "yi", "vi", "d1j", "d1t", "d1d", "d2j", "d2t", "d2d", "d3j", "d3t", "d3d" ], "rows": 20, "table": true, "tojson": true }, { "name": "dat_ind_values", "title": "Example priors for indirectness adjustment", "object": "dat_ind_values", "class": [ "data.frame" ], "fields": [ "domain", "j", "ind_m_add", "ind_v_add", "ind_m_prop", "ind_v_prop" ], "rows": 3, "table": true, "tojson": true } ], "_help": [ { "page": "beta_carotene_data", "title": "Beta-carotene RoB Judgments (Raw) Domain-level risk of bias judgments for 15 studies of beta-carotene and cardiovascular outcomes.", "topics": [ "beta_carotene_data" ] }, { "page": "dat_bias", "title": "Example risk of bias assessments", "topics": [ "dat_bias" ] }, { "page": "dat_bias_values", "title": "Example priors for the bias adjustment", "topics": [ "dat_bias_values" ] }, { "page": "dat_ind", "title": "Example indirectness assessments", "topics": [ "dat_ind" ] }, { "page": "dat_ind_values", "title": "Example priors for indirectness adjustment", "topics": [ "dat_ind_values" ] }, { "page": "interactive_bias_plot", "title": "Interactive bias-adjusted plot (horizontal layout)", "topics": [ "interactive_bias_plot" ] }, { "page": "tri_absolute_direction", "title": "Convert to absolute direction of bias or indirectness", "topics": [ "tri_absolute_direction" ] }, { "page": "tri_absolute_direction_invert", "title": "Convert absolute direction back to qualitative tool labels", "topics": [ "tri_absolute_direction_invert" ] }, { "page": "tri_absolute_direction_quick", "title": "Quick wrapper to apply absolute direction transformation", "topics": [ "tri_absolute_direction_quick" ] }, { "page": "tri_append_bias", "title": "Append bias priors to bias dataset", "topics": [ "tri_append_bias" ] }, { "page": "tri_append_indirect", "title": "Append indirectness priors to dataset", "topics": [ "tri_append_indirect" ] }, { "page": "tri_calculate_adjusted_estimates", "title": "Calculate Bias-Adjusted Estimates", "topics": [ "tri_calculate_adjusted_estimates" ] }, { "page": "tri_dat_check", "title": "Check that required columns are present", "topics": [ "tri_dat_check" ] }, { "page": "tri_plot_bias_direction", "title": "Plot bias-adjusted and unadjusted estimates with RoB", "topics": [ "tri_plot_bias_direction" ] }, { "page": "tri_prep_data", "title": "Prepare bias and indirectness data for adjustment", "topics": [ "tri_prep_data" ] }, { "page": "tri_swap_effect_direction", "title": "Standardise Effect Direction and Adjust Bias Directions", "topics": [ "tri_swap_effect_direction" ] }, { "page": "tri_to_long", "title": "Convert data from wide to long format", "topics": [ "tri_to_long" ] }, { "page": "tri_to_wide", "title": "Convert data from long to wide format", "topics": [ "tri_to_wide" ] } ], "_readme": "https://github.com/mcguinlu/triangulate/raw/HEAD/README.md", "_rundeps": [ "base64enc", "bslib", "cachem", "cli", "commonmark", "cpp11", "digest", "dplyr", "farver", "fastmap", "fontawesome", "fs", "generics", "ggplot2", "glue", "gtable", "hms", "htmltools", "httpuv", "isoband", "janitor", "jquerylib", "jsonlite", "labeling", "later", "lattice", "lifecycle", "lubridate", "magrittr", "mathjaxr", "Matrix", "memoise", "metadat", "metafor", "mime", "nlme", "numDeriv", "otel", "pbapply", "pillar", "pkgconfig", "promises", "purrr", "R6", "rappdirs", "RColorBrewer", "Rcpp", "rlang", "S7", "sass", "scales", "shiny", "snakecase", "sourcetools", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "timechange", "utf8", "vctrs", "viridisLite", "withr", "xtable" ], "_vignettes": [ { "source": "absolute_direction.Rmd", "filename": "absolute_direction.html", "title": "Absolute direction of bias/indirectness", "engine": "knitr::rmarkdown", "headings": [ "Absolute directions of bias/indirectness", "Point estimate below NULL", "Point estimate above NULL - Bias towards the NULL", "Adding the adjustment values", "Example", "Additive - Favours comparator - right - positive sign", "Additive - Favours intervention - left - negative sign", "Proportional - Point estimate above NULL - Towards the NULL - left - negative sign", "Proportional - Point estimate below NULL - Away from NULL - right - positive sign", "Proportional - Point estimate below NULL - Towards the NULL - right - positive sign", "Proportional - Point estimate below NULL - Away from NULL - left - negative sign" ], "created": "2025-11-27 10:07:43", "modified": "2025-11-27 10:07:43", "commits": 1 }, { "source": "additional-levels-of-bias-and-indirectness.Rmd", "filename": "additional-levels-of-bias-and-indirectness.html", "title": "Adding additional levels of bias and indirectness", "engine": "knitr::rmarkdown", "headings": [], "created": "2025-11-27 10:07:43", "modified": "2025-11-27 10:07:43", "commits": 1 }, { "source": "Creating-triangulation-datasets.Rmd", "filename": "Creating-triangulation-datasets.html", "title": "Creating triangulation datasets", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Step 1: Create the example dataset", "Step 2: Convert to long format", "Step 3: Add absolute direction", "Step 4: Append bias priors" ], "created": "2025-11-27 10:07:43", "modified": "2025-11-27 10:07:43", "commits": 1 }, { "source": "interactive-sensitivity.Rmd", "filename": "interactive-sensitivity.html", "title": "Interactive Sensitivity Analysis", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Example Data", "Launch Interactive App", "Conclusion" ], "created": "2025-11-27 10:07:43", "modified": "2025-11-27 10:07:43", "commits": 1 }, { "source": "sensitivity-analysis.Rmd", "filename": "sensitivity-analysis.html", "title": "Sensitivity Analyses in Triangulate", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Create example dataset", "Define Default Bias and Indirectness Priors", "Run bias adjustment", "Stricter sensitivity scenario", "Compare results", "Conclusion" ], "created": "2025-11-27 10:07:43", "modified": "2025-11-27 10:07:43", "commits": 1 }, { "source": "beta-carotene-chd-example.Rmd", "filename": "beta-carotene-chd-example.html", "title": "Triangulation example: Beta-carotene and CHD", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "1. Load CHD Dataset", "2. Merge with RoB Assessments", "3. Format & Validate Input", "4. Add Indirectness & Adjust Effect Estimate for It", "5. Apply Bias Priors & Estimate Adjusted Effects", "5.1 Define Custom Priors", "5.2 Append priors and prepare data, and estimate adjusted effects", "6. Final data adjusted for both bias and indirectness", "7. Generate Bias-Adjusted Plot" ], "created": "2025-11-27 10:07:43", "modified": "2026-01-16 16:25:15", "commits": 2 } ], "_score": 5.03342375548695, "_indexed": true, "_nocasepkg": "triangulate", "_universes": [ "mrcieu", "cyshapland", "mcguinlu" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.0.2", "date": "2026-07-15T06:11:37.000Z", "distro": "resolute", "commit": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "fileid": "https://r2.ropensci.org/5c79259f9c987d911da45d07a8bbc7cf45603e68eccfcca45c96dddbb13e468c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689" }, { "r": "4.6.1", "os": "linux", "version": "0.0.2", "date": "2026-07-15T06:11:32.000Z", "distro": "resolute", "commit": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "fileid": "https://r2.ropensci.org/69f1d42247b7f1abc9175637f9d8695f98f26a4b45015b645f6016bd850a52c2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689" }, { "r": "4.5.3", "os": "mac", "version": "0.0.2", "date": "2026-07-15T06:10:37.000Z", "commit": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "fileid": "https://r2.ropensci.org/018914ffe6840d301a8da5d29e87884b32ece516e8d93fd1dcb7c7117d8a4574", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689" }, { "r": "4.6.1", "os": "mac", "version": "0.0.2", "date": "2026-07-15T06:10:29.000Z", "commit": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "fileid": "https://r2.ropensci.org/27d831f3220fc902ca74b73bb65d813c2cce78820a6c07ff895cb0f2283ee7ae", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689" }, { "r": "4.6.0", "os": "wasm", "version": "0.0.2", "date": "2026-07-15T06:11:25.000Z", "commit": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "fileid": "https://r2.ropensci.org/399696ab2ca2b32a430c371773cfab05904ba98ee188804a55b333178681a53a", "status": "success", "buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689" }, { "r": "4.7.0", "os": "win", "version": "0.0.2", "date": "2026-07-15T06:10:25.000Z", "commit": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "fileid": "https://r2.ropensci.org/d7190b8d633a02ed9c4815e0cdaa6a601ad5bc525150e88f292f2a200fd68acc", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689" }, { "r": "4.5.3", "os": "win", "version": "0.0.2", "date": "2026-07-15T06:10:45.000Z", "commit": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "fileid": "https://r2.ropensci.org/8dd8ab8bd2191d11732aa41b341834dfb3ed00b6d3ace8125686bd5f456ad3ff", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689" }, { "r": "4.6.1", "os": "win", "version": "0.0.2", "date": "2026-07-15T06:10:24.000Z", "commit": "9c198ec995a81629a4cba46b38b577cbfa9b6a11", "fileid": "https://r2.ropensci.org/248e8227119ff015ed8d5e3ac328ce1c7cac699fb78986983650cc3999a85b53", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mrcieu/actions/runs/29393176689" } ] }