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>.
| Version: |
1.1.0 |
| Depends: |
R (≥ 3.5.0), arm, genlasso |
| Imports: |
prodlim, sandwich, igraph, pbmcapply, pbapply, mvtnorm, stringr, doParallel, foreach, estimatr |
| Published: |
2025-11-28 |
| DOI: |
10.32614/CRAN.package.factorEx |
| Author: |
Naoki Egami [aut, cre],
Brandon de la Cuesta [aut],
Kosuke Imai [aut] |
| Maintainer: |
Naoki Egami <naoki.egami5 at gmail.com> |
| BugReports: |
https://github.com/naoki-egami/factorEx/issues |
| License: |
GPL-2 |
| URL: |
https://github.com/naoki-egami/factorEx |
| NeedsCompilation: |
no |
| CRAN checks: |
factorEx results |
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