dualbounds.varcate.VarCATEDualBounds¶

class dualbounds.varcate.VarCATEDualBounds(*args, **kwargs)[source]¶

Computes lower bounds on \(Var(E[Y(1) - Y(0) | X]).\)

This class has the same signature as generic.DualBounds except it only provides lower bounds and the input f will be ignored.

Methods

compute_dual_variables(*args, **kwargs)	In this case, the optimal dual variables are simply the estimated CATE, so this function does nothing.
cross_fit([nfolds, suppress_warning, ...])	Cross-fits the outcome model.
diagnostics([plot, aipw])	Reports a set of technical diagnostics.
eval_outcome_model()	Thinly wraps dist_reg._evaluate_model_predictions.
eval_treatment_model()	Thinly wraps dist_reg._evaluate_model_predictions.
fit([nfolds, aipw, alpha, y0_dists, ...])	Main function which (1) performs cross-fitting, (2) computes optimal dual variables, and (3) computes final dual bounds.
fit_propensity_scores(nfolds[, clip, verbose])	Cross-fits the propensity scores.
plot_dual_variables([i])	Plots the estimated dual variables for the ith data-point.
results([minval, maxval])	Returns a dataframe of key inferential results.
summary([minval, maxval])	Prints a summary of main results from the class.