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:
Downloads:
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