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Please cite the projoint package whenever you use it. If your analysis uses its measurement-error correction method, cite the methodological article as well.

Horiuchi Y, Kaufman A, King G (2026). projoint: Conjoint Analysis with Reliability Correction and Visualization. Comprehensive R Archive Network (CRAN). doi:10.32614/CRAN.package.projoint. R package version 1.1.3, https://CRAN.R-project.org/package=projoint.

Clayton K, Horiuchi Y, Kaufman A, King G, Komisarchik M (2025). “Correcting Measurement Error Bias in Conjoint Survey Experiments.” American Journal of Political Science. Forthcoming, https://gking.harvard.edu/conjointE.

Corresponding BibTeX entries:

  @Manual{projoint,
    title = {projoint: Conjoint Analysis with Reliability Correction
      and Visualization},
    author = {Yusaku Horiuchi and Aaron R. Kaufman and Gary King},
    year = {2026},
    note = {R package version 1.1.3},
    organization = {Comprehensive R Archive Network (CRAN)},
    doi = {10.32614/CRAN.package.projoint},
    url = {https://CRAN.R-project.org/package=projoint},
  }
  @Article{ClaytonEtAl2025,
    title = {Correcting Measurement Error Bias in Conjoint Survey
      Experiments},
    author = {Katherine Clayton and Yusaku Horiuchi and Aaron R.
      Kaufman and Gary King and Mayya Komisarchik},
    journal = {American Journal of Political Science},
    year = {2025},
    note = {Forthcoming},
    url = {https://gking.harvard.edu/conjointE},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.