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 (2019+), and Egami and Imai (2019) <doi:10.1080/01621459.2018.1476246>.

Version: 1.0.0
Depends: R (≥ 3.5.0), arm, genlasso
Imports: prodlim, sandwich, igraph, pbmcapply, pbapply, mvtnorm, stringr, doParallel, foreach, estimatr
Published: 2019-10-01
Author: Naoki Egami, Brandon de la Cuesta, Kosuke Imai
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

Downloads:

Reference manual: factorEx.pdf
Package source: factorEx_1.0.0.tar.gz
Windows binaries: r-devel: factorEx_1.0.0.zip, r-release: factorEx_1.0.0.zip, r-oldrel: factorEx_1.0.0.zip
OS X binaries: r-release: factorEx_1.0.0.tgz, r-oldrel: factorEx_1.0.0.tgz

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