projoint: Conjoint Analysis with Reliability Correction and Visualization

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: 1.0.6
Depends: R (≥ 4.1.0)
Imports: dplyr (≥ 1.1.2), readr, rlang, tidyr, stringr, tidyselect, estimatr, ggthemes, ggplot2, stats, tibble, methods, MASS, forcats, scales
Published: 2025年10月29日
Author: Yusaku Horiuchi ORCID iD [aut, cre], Aaron Kaufman ORCID iD [aut], Gary King ORCID iD [aut]
Maintainer: Yusaku Horiuchi <yusaku.horiuchi at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: projoint results

Documentation:

Reference manual: projoint.html , projoint.pdf

Downloads:

Package source: projoint_1.0.6.tar.gz
Windows binaries: r-devel: projoint_1.0.6.zip, r-release: projoint_1.0.6.zip, r-oldrel: projoint_1.0.6.zip
macOS binaries: r-release (arm64): projoint_1.0.6.tgz, r-oldrel (arm64): projoint_1.0.6.tgz, r-release (x86_64): projoint_1.0.6.tgz, r-oldrel (x86_64): projoint_1.0.6.tgz

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