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 |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=factorExto link to this page.