FactorHet
Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity
v1.0.0
·
Jan 13, 2025
·
GPL (>= 2)
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 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
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r-oldrel-macos-arm64
installed package size
installed size is 31.4Mb
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libs 30.7Mb
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installed size is 32.0Mb
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1.0.0
Mar 9, 2026