Package index

All functions

dml_with_smoother()

Double ML estimators with outcome smoothers

get_outcome_weights(<causal_forest>)

Outcome weights for the causal_forest function

get_outcome_weights(<dml_with_smoother>)

Outcome weights for the dml_with_smoother function

get_outcome_weights(<instrumental_forest>)

Outcome weights for the instrumental_forest function

get_outcome_weights()

Outcome weights method

NuPa_honest_forest()

Nuisance parameter estimation via honest random forest

pive_weight_maker()

Outcome weights maker for pseudo-IV estimators.

plot(<dml_with_smoother>)

plot method for class dml_with_smoother

prep_cf_mat()

Creates matrix of binary cross-fitting fold indicators (N x # cross-folds)

standardized_mean_differences()

Calls C++ implementation to calculate standardized mean differences.

summary(<dml_with_smoother>)

summary method for class dml_with_smoother

summary(<get_outcome_weights>)

summary method for class outcome_weights

summary(<standardized_mean_differences>)

summary method for class standardized_mean_differences