Man pages for drape
Doubly Robust Average Partial Effects
| basis_poly | Estimate the score function of the d'th covariate using a... |
| compare | Generate simulation data and evaluate estimators, with sample... |
| compare_evaluate | Evaluate estimators by training nuisance functions on... |
| compare_lm | Generate simulation data and evaluate OLS estimator. |
| compare_partially_linear | Generate simulation data and evaluate partially linear... |
| compare_rothenhausler | Generate simulation data and evaluate Rothenhausler... |
| cv_resmooth | K-fold cross-validation for resmoothing bandwidth. |
| cv_spline_score | K-fold cross-validation for spline_score. |
| drape | Estimate the doubly-robust average partial effect estimate of... |
| fit_lasso_poly | Fit a lasso regression using quadratic polynomial basis, with... |
| fit_xgboost | Fit pre-tuned XGBoost regression for use in simulations. |
| MC_sums | Compute sums of a Monte Carlo vector for use in resmoothing. |
| mixture_score | Population score function for the symmetric mixture two... |
| new_X | Generate a matrix of covariates for use in resmoothing, in... |
| ng_pseudo_response | Generate pseudo responses as in Ng 1994 to enable univariate... |
| partially_linear | Fit a doubly-robust partially linear regression using the... |
| resmooth | Resmooth the predictions of a fitted model |
| rmixture | Symmetric mixture two Gaussian random variables. |
| rothenhausler_basis | Generate the modified quadratic basis of Rothenhausler and... |
| rothenhausler_yu | Estimate the average partial effect of using the debiased... |
| simulate_data | Generate simulation data. |
| sort_bin | Sort and bin x within a specified tolerance, using hist(). |
| spline_score | Univariate score estimation via the smoothing spline method... |
| z_correlated_normal | Generate n copies of Z ~ N_{p}(0,Sigma), where Sigma_{jj} =... |
