Package: debiasedInference 0.1.1
debiasedInference: Bootstrap Inference with Debiased Nonparametric Estimators
Implements debiased kernel density and local-linear regression estimators with empirical-bootstrap simultaneous confidence bands, as proposed by Cheng and Chen (2019) <doi:10.1214/19-EJS1575>. Also provides bandwidth selectors and grid-based confidence sets for density level sets and inverse regression.
Authors:
debiasedInference_0.1.1.tar.gz
debiasedInference_0.1.1.zip(r-4.7-any)debiasedInference_0.1.1.zip(r-4.6-any)debiasedInference_0.1.1.zip(r-4.5-any)
debiasedInference_0.1.1.tgz(r-4.6-any)debiasedInference_0.1.1.tgz(r-4.5-any)
debiasedInference_0.1.1.tar.gz(r-4.7-any)debiasedInference_0.1.1.tar.gz(r-4.6-any)
debiasedInference_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
debiasedInference/json (API)
| # Install 'debiasedInference' in R: |
| install.packages('debiasedInference', repos = c('https://mathcg.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mathcg/debiased-inference/issues
bootstrapconfidence-bandskernel-density-estimationnonparametric-statisticspython
Last updated from:0be716529d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 115 | ||
| source / vignettes | OK | 160 | ||
| linux-release | OK | 118 | ||
| macos-release | OK | 176 | ||
| macos-oldrel | OK | 145 | ||
| windows-devel | OK | 63 | ||
| windows-release | OK | 58 | ||
| windows-oldrel | OK | 70 | ||
| wasm-release | OK | 88 |
Exports:debiased_kdedebiased_local_lineardensity_bandwidthdensity_level_setdensity_level_set_confidencehausdorff_distanceinverse_regressioninverse_regression_confidenceinvert_confidence_bandkde_confidence_bandlevel_setregression_bandwidthregression_confidence_band
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Debiased kernel density estimation and confidence bands | debiased_kde kde_confidence_band |
| Debiased local-linear regression and confidence bands | debiased_local_linear regression_confidence_band |
| Bandwidth selectors for ordinary nonparametric estimators | density_bandwidth regression_bandwidth |
| Grid-based level-set utilities | density_level_set density_level_set_confidence hausdorff_distance inverse_regression inverse_regression_confidence invert_confidence_band level_set |
| Print debiasedInference result objects | print.di_band print.di_estimate print.di_set |