{ "_id": "6ae0842535f1b0d9cfc6419d", "Package": "projoint", "Type": "Package", "Title": "Conjoint Analysis with Reliability Correction and Visualization", "Version": "1.1.4", "Date": "2026-08-28", "Maintainer": "Yusaku Horiuchi ", "Authors@R": "c(\nperson(\"Yusaku\", \"Horiuchi\", email = \"yusaku.horiuchi@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-0295-4089\")),\nperson(\"Aaron\", \"Kaufman\", email = \"aaronkaufman@nyu.edu\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-3688-0428\")),\nperson(\"Gary\", \"King\", email = \"king@harvard.edu\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-5327-7631\"))\n)", "Author": "Yusaku Horiuchi [aut, cre] (ORCID:\n), Aaron Kaufman [aut]\n(ORCID: ), Gary King\n[aut] (ORCID: )", "Description": "Provides tools for analyzing data generated from conjoint\nsurvey experiments, a method widely used in the social sciences\nfor studying multidimensional preferences. The package\nimplements estimation of marginal means (MMs) and average\nmarginal component effects (AMCEs), with corrections for\nmeasurement error. Methods include profile-level and\nchoice-level estimators, bias correction using intra-respondent\nreliability (IRR), and visualization utilities. For details on\nthe methodology, see Clayton, Horiuchi, Kaufman, King, and\nKomisarchik (2025) .", "VignetteBuilder": "knitr", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "URL": "https://yhoriuchi.github.io/projoint/", "LazyData": "false", "BugReports": "https://github.com/yhoriuchi/projoint/issues", "Config/pak/sysreqs": "libicu-dev libx11-dev", "Repository": "https://yhoriuchi.r-universe.dev", "Date/Publication": "2026-08-28 19:03:30 UTC", "RemoteUrl": "https://github.com/yhoriuchi/projoint", "RemoteRef": "HEAD", "RemoteSha": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-27 10:54:28 UTC", "User": "root" }, "_user": "yhoriuchi", "_type": "src", "_file": "projoint_1.1.4.tar.gz", "_fileid": "https://r2.ropensci.org/3613eb677e72fce3c3c3c35d8ba29ebe9e1bb48a0a0433eb7cff56ecd70aba3e", "_filesize": 3651272, "_sha256": "3613eb677e72fce3c3c3c35d8ba29ebe9e1bb48a0a0433eb7cff56ecd70aba3e", "_expires": "2027-02-04T10:59:47.000Z", "_created": "2026-10-27T10:54:28.000Z", "_published": "2026-10-27T10:59:49.837Z", "_upstream": "https://github.com/yhoriuchi/projoint", "_status": "success", "_maintainer": { "name": "Yusaku Horiuchi", "email": "yusaku.horiuchi@gmail.com", "login": "yhoriuchi", "twitter": "@YusakuHoriuchi", "description": "Syde P. 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"exampleData2" ] }, { "page": "exampleData3", "title": "Projoint Example Data Set 3: Building Conjoint with No Repeated Task", "topics": [ "exampleData3" ] }, { "page": "make_projoint_data", "title": "Make a 'projoint_data' object from a labelled tibble", "topics": [ "make_projoint_data" ] }, { "page": "out1_arranged", "title": "Example Output: Manually Rearranged Labels", "topics": [ "out1_arranged" ] }, { "page": "plot.projoint_results", "title": "Plot method for 'projoint_results'", "topics": [ "plot.projoint_results" ] }, { "page": "plot.projoint_tau", "title": "Plot method for 'projoint_tau'", "topics": [ "plot.projoint_tau" ] }, { "page": "predict_tau", "title": "Estimate intra-respondent reliability (tau) without a repeated task", "topics": [ "predict_tau" ] }, { "page": "print.projoint_data", "title": "Print a projoint_data object", "topics": [ "print.projoint_data" ] }, { "page": "print.projoint_results", "title": "Print method for projoint_results", "topics": [ "print.projoint_results" ] }, { "page": "print.projoint_tau", "title": "Print method for projoint_tau objects", "topics": [ "print.projoint_tau" ] }, { "page": "projoint", "title": "Analyze a conjoint dataset with measurement-error correction", "topics": [ "projoint" ] }, { "page": "read_labels", "title": "Read and apply a reordered attribute/level mapping", "topics": [ "read_labels" ] }, { "page": "read_Qualtrics", "title": "Read and re-format a Qualtrics CSV (choice text)", "topics": [ "read_Qualtrics" ] }, { "page": "reshape_projoint", "title": "Reshape survey response data for conjoint analysis (single task set)", "topics": [ "reshape_projoint" ] }, { "page": "save_labels", "title": "Save attribute and level labels to a CSV file", "topics": [ "save_labels" ] }, { "page": "set_qoi", "title": "Set the quantities of interest (QoIs)", "topics": [ "set_qoi" ] }, { "page": "summary.projoint_data", "title": "Summary for 'projoint_data'", "topics": [ "summary.projoint_data" ] }, { "page": "summary.projoint_results", "title": "Summary method for 'projoint_results'", "topics": [ "summary.projoint_results" ] }, { "page": "summary.projoint_tau", "title": "Summary method for projoint_tau objects", "topics": [ "summary.projoint_tau" ] } ], "_readme": "https://github.com/yhoriuchi/projoint/raw/HEAD/README.md", "_rundeps": [ "bit", "bit64", "cli", "clipr", "cpp11", "crayon", "dplyr", "estimatr", "farver", "forcats", "Formula", "generics", "ggplot2", "ggthemes", "glue", "gtable", "hms", "isoband", "labeling", "lifecycle", "magrittr", "MASS", "pillar", "pkgconfig", "prettyunits", "progress", "purrr", "R6", "RColorBrewer", "Rcpp", "RcppEigen", "readr", "rlang", "S7", "scales", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "tzdb", "utf8", "vctrs", "viridisLite", "vroom", "withr" ], "_vignettes": [ { "source": "analyze.Rmd", "filename": "analyze.html", "title": "Analyze and Visualize Important QOIs", "engine": "knitr::rmarkdown", "headings": [ "🎯 Estimate Corrected MMs or AMCEs", "📦 Prepare Example Data", "🛠️ Why Use IDs (e.g., att1, level1)?", "📈 Estimate Marginal Means (MMs)", "📉 Estimate AMCEs", "🔎 Predict Intra-Respondent Reliability (IRR)", "🎨 Visualize MMs or AMCEs", "⚖️ Choice-Level Analysis" ], "created": "2025-04-20 11:58:02", "modified": "2026-08-01 10:31:54", "commits": 12 }, { "source": "structure.Rmd", "filename": "structure.html", "title": "Choice-Level Analysis", "engine": "knitr::rmarkdown", "headings": [ "Why Choice-Level Analysis?", "⚠️ Problems with Profile-Level Analysis", "✅ Advantages of Choice-Level Analysis", "Key Issues and Applications", "Why Move to Choice-Level Analysis?", "Summary", "Key Takeaway", "📚 References" ], "created": "2023-08-15 15:28:23", "modified": "2025-10-26 21:57:43", "commits": 10 }, { "source": "correct.Rmd", "filename": "correct.html", "title": "Correct Measurement-Error Bias", "engine": "knitr::rmarkdown", "headings": [ "Why Correct for Measurement Error?", "The Consequences of Ignoring Measurement Error", "How projoint Corrects for Measurement Error", "Key Takeaway", "📚 Key Reference" ], "created": "2025-04-20 11:58:02", "modified": "2025-04-21 14:09:00", "commits": 2 }, { "source": "design.Rmd", "filename": "design.html", "title": "Design Your Survey", "engine": "knitr::rmarkdown", "headings": [ "Set Up Your Survey Using the Projoint Survey Design Tool", "How to Use the Projoint Survey Design Tool", "Other Options" ], "created": "2025-04-20 11:58:02", "modified": "2025-08-20 00:23:22", "commits": 5 }, { "source": "explore.Rmd", "filename": "explore.html", "title": "Explore and Compare Further", "engine": "knitr::rmarkdown", "headings": [ "🌟 Explore and Compare Further", "📦 Setup", "⚖️ Explore: Compare Trade-offs Directly", "🧩 Explore: Compare Multiple Levels Simultaneously", "📊 Compare: Subgroup Differences" ], "created": "2025-02-06 03:29:13", "modified": "2026-02-22 14:02:28", "commits": 8 }, { "source": "faq.Rmd", "filename": "faq.html", "title": "FAQ Page", "engine": "knitr::rmarkdown", "headings": [ "What's the difference between \"profile-level\" and \"choice-level\" conjoint analysis??", "What if I have profile-level data?", "📈 Profile-Level MMs and AMCEs", "Is there other conjoint software??", "1. Generate a JavaScript or PHP randomizer", "JavaScript", "PHP", "2. Modify your JavaScript or PHP randomizer", "3. Add conjoint tables with embedded fields in Qualtrics", "Adding a repeated task (recommended!)", "4. Sample Qualtrics survey template" ], "created": "2025-06-05 22:46:59", "modified": "2025-10-26 21:57:43", "commits": 13 }, { "source": "read.Rmd", "filename": "read.html", "title": "Read and Wrangle Your Data", "engine": "knitr::rmarkdown", "headings": [ "📥 Read Your Data", "🚀 Read Workflow", "🛠️ Wrangle Your Data", "🚀 Wrangle Workflow", "Specify response labels and profile positions", "Example (Flipped Repeated Task)" ], "created": "2025-04-20 11:58:02", "modified": "2026-08-01 10:31:54", "commits": 9 } ], "_score": 8.602494068807282, "_indexed": true, "_nocasepkg": "projoint", "_universes": [ "yhoriuchi" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.4", "date": "2026-10-27T10:56:46.000Z", "distro": "resolute", "commit": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "fileid": "https://r2.ropensci.org/631953d2609ab66551a284129326e61e0aaca512944bfb923d01098c347217a4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yhoriuchi/actions/runs/40491256623" }, { "r": "4.6.1", "os": "linux", "version": "1.1.4", "date": "2026-10-27T10:56:48.000Z", "distro": "resolute", "commit": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "fileid": "https://r2.ropensci.org/d1050cf81b18df82a67eecf5106691c5560c2a546318c5f10aaa335b5a923df1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yhoriuchi/actions/runs/40491256623" }, { "r": "4.5.3", "os": "mac", "version": "1.1.4", "date": "2026-10-27T10:57:00.000Z", "commit": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "fileid": "https://r2.ropensci.org/1e30a60e1536511a402997502149e83437c3a699e27560f020a2bbe2e0068800", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yhoriuchi/actions/runs/40491256623" }, { "r": "4.6.1", "os": "mac", "version": "1.1.4", "date": "2026-10-27T10:57:10.000Z", "commit": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "fileid": "https://r2.ropensci.org/84e9bfe0913fc54d4597955eb04fb1d4e21cdc3c7edee35d6b3d4f3295821133", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yhoriuchi/actions/runs/40491256623" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.4", "date": "2026-10-27T10:56:54.000Z", "commit": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "fileid": "https://r2.ropensci.org/603fc9cab32978bb8347f60490abb855b0d3a458bf4a940831e57189ea598635", "status": "success", "buildurl": "https://github.com/r-universe/yhoriuchi/actions/runs/40491256623" }, { "r": "4.7.0", "os": "win", "version": "1.1.4", "date": "2026-10-27T10:55:46.000Z", "commit": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "fileid": "https://r2.ropensci.org/e0f01452f12dfd81f9274e97c11157c29cd02c066355b5c87781fd73eeb699e6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yhoriuchi/actions/runs/40491256623" }, { "r": "4.5.3", "os": "win", "version": "1.1.4", "date": "2026-10-27T10:55:54.000Z", "commit": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "fileid": "https://r2.ropensci.org/93d66f2f1690fb0ebc7b67907a6a7f640797a78e01b06bf2ca585440c04a663e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yhoriuchi/actions/runs/40491256623" }, { "r": "4.6.1", "os": "win", "version": "1.1.4", "date": "2026-10-27T10:56:05.000Z", "commit": "3534d3c7dafe29ae89d4668e61451ed78e31cb48", "fileid": "https://r2.ropensci.org/1bdcc188f2baa7f9529b6aae7c314b603760ef870976d277df9559ee8e59af27", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/yhoriuchi/actions/runs/40491256623" } ] }