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factorEx  

Design and Analysis for Factorial Experiments
View on CRAN: Click here


Download and install factorEx package within the R console
Install from CRAN:
install.packages("factorEx")

Install from Github:
library("remotes")
install_github("cran/factorEx")

Install by package version:
library("remotes")
install_version("factorEx", "1.1.0")



Attach the package and use:
library("factorEx")
Maintained by
Naoki Egami
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-28
Latest Update: 2025-11-28
Description:
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>.
How to cite:
Naoki Egami (2025). factorEx: Design and Analysis for Factorial Experiments. R package version 1.1.0, https://cran.r-project.org/web/packages/factorEx. Accessed 03 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 1.0.0 (2019-10-01 16:40), 1.0.1 (2020-05-11 18:20)
Other packages that cited factorEx R package
View factorEx citation profile
Other R packages that factorEx depends, imports, suggests or enhances
Complete documentation for factorEx
Functions, R codes and Examples using the factorEx R package
Full factorEx package functions and examples
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