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FactorHet

Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity

v1.0.0 · Jan 13, 2025 · GPL (>= 2)
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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.

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NOTE r-oldrel-macos-arm64

installed package size

installed size is 31.4Mb
  sub-directories of 1Mb or more:
    libs  30.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 32.0Mb
  sub-directories of 1Mb or more:
    libs  31.3Mb

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is 31.4Mb
  sub-directories of 1Mb or more:
    libs  30.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 32.0Mb
  sub-directories of 1Mb or more:
    libs  31.3Mb

Dependency Network

Dependencies Reverse dependencies Rcpp Matrix ggplot2 ParamHelpers mlr mlrMBO smoof lbfgs FactorHet

Version History

new 1.0.0 Mar 10, 2026