Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity

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Documentation for package ‘FactorHet’ version 1.0.0

• DESCRIPTION file.

Help Pages

ACE	Calculate marginal effects
AIC.FactorHet	Generic methods for FactorHet models
AME	Calculate marginal effects
AMIE	Calculate marginal effects
BIC.FactorHet	Generic methods for FactorHet models
cjoint_plot	Plot a FactorHet object
coef.FactorHet	Generic methods for FactorHet models
diff_AME	Difference between AMEs in each group
FactorHet	Estimate heterogeneous effects in factorial and conjoint experiments
FactorHet-class	Generic methods for FactorHet models
FactorHet_control	Control for FactorHet estimation
FactorHet_init	Arguments for initializing FactorHet
FactorHet_mbo	Estimate heterogeneous effects in factorial and conjoint experiments
FactorHet_mbo_control	Control for model-based optimization
FactorHet_refit	Refit model using estimated sparsity patterns
formula.FactorHet	Generic methods for FactorHet models
HTE	Estimate heterogeneous treatment effects by individual or moderator
HTE_by_individual	Estimate heterogeneous treatment effects by individual or moderator
HTE_by_moderator	Estimate heterogeneous treatment effects by individual or moderator
immigration	Small dataset on immigration preferences
logLik.FactorHet	Generic methods for FactorHet models
manual_AME	Calculate marginal effects
margeff_moderators	Compute association between moderators and group membership
plot.FactorHet	Generic methods for FactorHet models
posterior_by_moderators	Visualize the posterior by observed moderators
posterior_FactorHet	Generic methods for FactorHet models
predict.FactorHet	Predict after using FactorHet
print.FactorHet	Generic methods for FactorHet models
print.FactorHet_vis	Generic methods for FactorHet models
summary.FactorHet	Generic methods for FactorHet models
vcov.FactorHet	Generic methods for FactorHet models
visualize_MBO	Generic methods for FactorHet models