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) <https://gking.harvard.edu/conjointE>.
| Version: | 1.1.1 |
| Depends: | R (≥ 4.1.0) |
| 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 |
| Published: | 2026-02-22 |
| DOI: | 10.32614/CRAN.package.projoint |
| Author: | Yusaku Horiuchi |
| Maintainer: | Yusaku Horiuchi <yusaku.horiuchi at gmail.com> |
| BugReports: | https://github.com/yhoriuchi/projoint/issues |
| License: | MIT + file LICENSE |
| URL: | https://yhoriuchi.github.io/projoint/ |
| NeedsCompilation: | no |
| Citation: | projoint citation info |
| Materials: | README, NEWS |
| CRAN checks: | projoint results |
| Reference manual: | projoint.html , projoint.pdf |
| Vignettes: |
Analyze and Visualize Important QOIs (source, R code) Correct Measurement-Error Bias (source) Design Your Survey (source) Explore and Compare Further (source, R code) FAQ Page (source, R code) Read and Wrangle Your Data (source, R code) Choice-Level Analysis (source) |
| Package source: | projoint_1.1.1.tar.gz |
| Windows binaries: | r-devel: projoint_1.1.1.zip, r-release: projoint_1.1.1.zip, r-oldrel: projoint_1.1.1.zip |
| macOS binaries: | r-release (arm64): projoint_1.1.1.tgz, r-oldrel (arm64): projoint_1.1.1.tgz, r-release (x86_64): projoint_1.1.1.tgz, r-oldrel (x86_64): projoint_1.1.1.tgz |
| Old sources: | projoint archive |
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