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factorEx

Design and Analysis for Factorial Experiments

Provides design-based and model-based estimators for the population average marginal component effects in general factorial experiments, including conjoint analysis. The package also implements a series of recommendations offered in de la Cuesta, Egami, and Imai (2022) <doi:10.1017/pan.2020.40>, and Egami and Imai (2019) <doi:10.1080/01621459.2018.1476246>.

Versions across snapshots

VersionRepositoryFileSize
1.1.0 rolling source/ R- factorEx_1.1.0.tar.gz 291.8 KiB
1.1.0 latest source/ R- factorEx_1.1.0.tar.gz 291.8 KiB
1.1.0 2026-04-23 source/ R- factorEx_1.1.0.tar.gz 291.8 KiB
1.1.0 2026-04-09 windows/windows R-4.5 factorEx_1.1.0.zip 476.2 KiB

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