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) .


Reference manual

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1.0.1 by Naoki Egami, a year ago

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Authors: Naoki Egami , Brandon de la Cuesta , Kosuke Imai

Documentation:   PDF Manual  

GPL-2 license

Imports prodlim, sandwich, igraph, pbmcapply, pbapply, mvtnorm, stringr, doParallel, foreach, estimatr

Depends on arm, genlasso

See at CRAN