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) .


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install.packages("factorEx")

1.0.1 by Naoki Egami, a year ago


https://github.com/naoki-egami/factorEx


Report a bug at https://github.com/naoki-egami/factorEx/issues


Browse source code at https://github.com/cran/factorEx


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