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 |
Reference manual: | factorEx.pdf |
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: factorEx_1.0.1.tgz, r-oldrel: factorEx_1.0.1.tgz |
Old sources: | factorEx archive |
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