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
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libglu1-mesa-dev
        libgmp3-dev libgsl0-dev jags libicu-dev libxml2-dev libmpfr-dev
        libopenmpi-dev libproj-dev
Repository: https://mgoplerud.r-universe.dev
Date/Publication: 2025-01-10 17:24:35 UTC
RemoteUrl: https://github.com/mgoplerud/factorhet
RemoteRef: HEAD
RemoteSha: eaa6e84cb05064c7d86c9d73b16b23ae090bb4e9
NeedsCompilation: yes
Packaged: 2026-07-13 07:08:34 UTC; root
Author: Max Goplerud [aut, cre],
  Nicole E. Pashley [aut],
  Kosuke Imai [aut]
Maintainer: Max Goplerud <mgoplerud@austin.utexas.edu>