# Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity

## Documentation for package ‘FactorHet’ version 1.0.0

- DESCRIPTION file
- Package README

## 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