Crandore Hub

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>.

Versions across snapshots

VersionRepositoryFileSize
1.1.1 rolling linux/jammy R-4.5 projoint_1.1.1.tar.gz 2.2 MiB
1.1.1 rolling linux/noble R-4.5 projoint_1.1.1.tar.gz 2.2 MiB
1.1.1 rolling source/ R- projoint_1.1.1.tar.gz 2.1 MiB
1.1.1 latest linux/jammy R-4.5 projoint_1.1.1.tar.gz 2.2 MiB
1.1.1 latest linux/noble R-4.5 projoint_1.1.1.tar.gz 2.2 MiB
1.1.1 latest source/ R- projoint_1.1.1.tar.gz 2.1 MiB
1.1.1 2026-04-26 source/ R- projoint_1.1.1.tar.gz 2.1 MiB
1.1.1 2026-04-23 source/ R- projoint_1.1.1.tar.gz 2.1 MiB
1.1.1 2026-04-09 windows/windows R-4.5 projoint_1.1.1.zip 2.2 MiB

Dependencies (latest)

Imports

Suggests