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( person("Yusaku", "Horiuchi", email = "yusaku.horiuchi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0295-4089")), person("Aaron", "Kaufman", email = "aaronkaufman@nyu.edu", role = "aut", comment = c(ORCID = "0000-0003-3688-0428")), person("Gary", "King", email = "king@harvard.edu", role = "aut", comment = c(ORCID = "0000-0002-5327-7631")) ) Author: Yusaku Horiuchi [aut, cre] (ORCID: ), Aaron Kaufman [aut] (ORCID: ), Gary King [aut] (ORCID: ) Description: Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation of marginal means (MMs) and average marginal component effects (AMCEs), with corrections for measurement error. Methods include profile-level and choice-level estimators, bias correction using intra-respondent reliability (IRR), and visualization utilities. For details on the methodology, see Clayton, Horiuchi, Kaufman, King, and Komisarchik (2025) . Imports: dplyr (>= 1.1.2), readr, rlang, tidyr, stringr, tidyselect, estimatr, ggthemes, ggplot2, stats, tibble, methods, MASS, forcats, scales Suggests: tidyverse, knitr, rmarkdown, downloadthis, patchwork, testthat (>= 3.0.0), DiagrammeR VignetteBuilder: knitr License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.3 Config/testthat/edition: 3 URL: https://yhoriuchi.github.io/projoint/ Depends: R (>= 4.1.0) 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: 2026-10-27 10:54:28 UTC; root