| compare_models | Compare two models using the debiased score test |
| compare_models.gam | Compare two fitted GAM models |
| compare_models.glm | Compare two fitted GLM models |
| compare_models.lm | Compare two fitted linear models |
| debias_hte_conditional | Customized debiasing for 'hte_test_conditional()' |
| debias_standard | Standard debiasing |
| dScoreTest | Debiased score test: goodness-of-fit test and model... |
| fit_CATE | Fit the conditional treatment effect (CATE) function |
| gof_test | Debiased score test for goodness of fit |
| gof_test.gam | Goodness-of-fit test for a GAM |
| gof_test.glm | Goodness-of-fit test for GLM |
| gof_test.lm | Goodness-of-fit test for a linear model |
| hte_test_conditional | Test for detecting heterogeneity in the conditional treatment... |
| hunt_optimal | Optimal hunting |
| hunt_vanilla | Vanilla hunting |
| hunt_wls | Weighted-least-squares hunting |
| new_dScoreTest | Constructor for the debiased score test |
| plot.dScoreTest | Plot the score test |
| predict.CATE | Predict from a fitted CATE model |
| print.dScoreTest | Print the score test |
| score_fun | Score for a fitted CATE model |
| summary.dScoreTest | Summary of the score test |
| weight_fun | Weight for a fitted CATE model |
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