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:	1.0.1
Depends:	R (≥ 3.5.0), arm, genlasso
Imports:	prodlim, sandwich, igraph, pbmcapply, pbapply, mvtnorm, stringr, doParallel, foreach, estimatr
Published:	2020-05-11
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

Documentation:

Reference manual:

factorEx.pdf

Downloads:

Package source:	factorEx_1.0.1.tar.gz
Windows binaries:	r-devel: factorEx_1.0.1.zip, r-release: factorEx_1.0.1.zip, r-oldrel: factorEx_1.0.1.zip
macOS binaries:	r-release (arm64): factorEx_1.0.1.tgz, r-oldrel (arm64): factorEx_1.0.1.tgz, r-release (x86_64): factorEx_1.0.1.tgz, r-oldrel (x86_64): factorEx_1.0.1.tgz
Old sources:	factorEx archive

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