- afcp
Estimates the Average Feature Choice Probability (AFCP) in conjoint experiments: how often respondents choose a profile with one feature level when it is directly compared with a profile with another. It also provides diagnostics for when the AFCP diverges from AMCE-style estimands that summarize performance against the full field of alternatives.
R · GitHub
- cjoint
Estimates Average Marginal Component-specific Effects (AMCEs) for conjoint experiments, following Hainmueller, Hopkins and Yamamoto (2014), with tools for plotting and summarizing results.
R · CRAN
- Conjoint Survey Design Tool
A graphical tool for designing conjoint experiments and exporting them to web survey platforms such as Qualtrics, with randomization handled entirely within the survey.
Python · Windows binary or Python source
- DirectEffects
Estimates the controlled direct effect of a treatment while fixing a potential mediator at a specific value, using sequential g-estimation or telescope matching.
R · CRAN
