FactorHet: Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity

Estimates heterogeneous effects in factorial (and conjoint) models. The methodology employs a Bayesian finite mixture of regularized logistic regressions, where moderators can affect each observation's probability of group membership and a sparsity-inducing prior fuses together levels of each factor while respecting ANOVA-style sum-to-zero constraints. Goplerud, Imai, and Pashley (2024) <doi:10.48550/ARXIV.2201.01357> provide further details.

Version:	1.0.0
Depends:	R (≥ 3.4.0)
Imports:	Rcpp (≥ 1.0.1), Matrix, ggplot2, ParamHelpers, mlr, mlrMBO, smoof, lbfgs, methods, utils, stats
LinkingTo:	Rcpp, RcppEigen (≥ 0.3.3.4.0)
Suggests:	FNN, RSpectra, mclust, ranger, tgp, testthat, covr, tictoc
Published:	2025-01-13
DOI:	10.32614/CRAN.package.FactorHet
Author:	Max Goplerud [aut, cre], Nicole E. Pashley [aut], Kosuke Imai [aut]
Maintainer:	Max Goplerud <mgoplerud at austin.utexas.edu>
BugReports:	https://github.com/mgoplerud/FactorHet/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/mgoplerud/FactorHet
NeedsCompilation:	yes
Materials:	README
CRAN checks:	FactorHet results

Documentation:

Reference manual:

FactorHet.pdf

Downloads:

Package source:	FactorHet_1.0.0.tar.gz
Windows binaries:	r-devel: FactorHet_1.0.0.zip, r-release: FactorHet_1.0.0.zip, r-oldrel: FactorHet_1.0.0.zip
macOS binaries:	r-release (arm64): FactorHet_1.0.0.tgz, r-oldrel (arm64): FactorHet_1.0.0.tgz, r-release (x86_64): FactorHet_1.0.0.tgz, r-oldrel (x86_64): FactorHet_1.0.0.tgz

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