API for debiasedInference
Bootstrap Inference with Debiased Nonparametric Estimators
| Global functions | |
|---|---|
| .as_points | Source code |
| .as_samples | Source code |
| .as_set_points | Source code |
| .as_vector | Source code |
| .bootstrap_parameters | Source code |
| .contour_points | Source code |
| .crossing_roots | Source code |
| .debiased_regression_values | Source code |
| .distance_to_geometry | Source code |
| .gaussian_debiased_kernel | Source code |
| .kde_values | Source code |
| .kernel_matrix | Source code |
| .level_geometry | Source code |
| .local_polynomial | Source code |
| .positive_scalar | Source code |
| .public_points | Source code |
| .with_seed | Source code |
| debiased_kde | Man page Source code |
| debiased_local_linear | Man page Source code |
| density_bandwidth | Man page Source code |
| density_level_set | Man page Source code |
| density_level_set_confidence | Man page Source code |
| hausdorff_distance | Man page Source code |
| inverse_regression | Man page Source code |
| inverse_regression_confidence | Man page Source code |
| invert_confidence_band | Man page Source code |
| kde_confidence_band | Man page Source code |
| level_set | Man page Source code |
| print.di_band | Man page Source code |
| print.di_estimate | Man page Source code |
| print.di_set | Man page Source code |
| regression_bandwidth | Man page Source code |
| regression_confidence_band | Man page Source code |
