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 |
| Reference manual: | factorEx.pdf |
| Package source: | factorEx_1.0.0.tar.gz |
| Windows binaries: | r-devel: factorEx_1.0.0.zip, r-devel-gcc8: 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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