The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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:

Reference manual: factorEx.html , factorEx.pdf

Downloads:

Package source: factorEx_1.1.0.tar.gz
Windows binaries: r-devel: factorEx_1.1.0.zip, r-release: not available, r-oldrel: factorEx_1.1.0.zip
macOS binaries: r-release (arm64): factorEx_1.1.0.tgz, r-oldrel (arm64): factorEx_1.1.0.tgz, r-release (x86_64): factorEx_1.1.0.tgz, r-oldrel (x86_64): factorEx_1.1.0.tgz
Old sources: factorEx archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=factorEx to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.