Package: FactorHet
Title: Estimate Heterogeneous Effects in Factorial Experiments Using
        Grouping and Sparsity
Version: 1.0.0
Date: 2025-01-08
Authors@R: c(
  person("Max", "Goplerud", role = c("aut", "cre"), email = "mgoplerud@austin.utexas.edu"),
  person(given=c("Nicole", "E."), "Pashley", role = c("aut"), email = "nicole.pashley@rutgers.edu"),
  person("Kosuke", "Imai", role = c("aut"), email = "imai@harvard.edu"))
Description: 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.
Depends: R (>= 3.4.0)
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.4.0)
Imports: Rcpp (>= 1.0.1), Matrix, ggplot2, ParamHelpers, mlr, mlrMBO,
        smoof, lbfgs, methods, utils, stats
Suggests: FNN, RSpectra, mclust, ranger, tgp, testthat, covr, tictoc
LazyData: true
URL: https://github.com/mgoplerud/FactorHet
BugReports: https://github.com/mgoplerud/FactorHet/issues
NeedsCompilation: yes
Packaged: 2025-01-10 17:16:01 UTC; mg68977
Author: Max Goplerud [aut, cre],
  Nicole E. Pashley [aut],
  Kosuke Imai [aut]
Maintainer: Max Goplerud <mgoplerud@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2025-01-13 18:00:09 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-12-17 04:27:53 UTC; windows
Archs: x64
