Package: rbbnp 1.1.0
Xinyu DAI
rbbnp: A Bias Bound Approach to Non-Parametric Inference
A novel bias-bound approach for non-parametric inference is introduced, focusing on both density and conditional expectation estimation. It constructs valid confidence intervals that account for the presence of a non-negligible bias and thus make it possible to perform inference with optimal mean squared error minimizing bandwidths. This package is based on Schennach (2020) <doi:10.1093/restud/rdz065>.
Authors:
rbbnp_1.1.0.tar.gz
rbbnp_1.1.0.tar.gz(r-4.7-any)rbbnp_1.1.0.tar.gz(r-4.6-any)
rbbnp_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rbbnp/json (API)
NEWS
| # Install 'rbbnp' in R: |
| install.packages('rbbnp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Pkgdown/docs site:https://xinyudai.net
- sample_data - Sample Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9e49588023. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 142 | ||
| source / vignettes | OK | 343 | ||
| linux-release-x86_64 | OK | 153 | ||
| wasm-release | OK | 126 |
Exports:biasBound_condExpectationbiasBound_densitycreate_biasBound_configcreate_kernel_functionscv_bandwidthgen_sample_dataplot_ftselect_bandwidthsilverman_bandwidth
Dependencies:clicpp11dplyrfarvergenericsggplot2gluegridExtragtableisobandlabelinglifecyclemagrittrpillarpkgconfigpracmapurrrR6RColorBrewerRglpkrlangS7scalesslamstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Density Estimation with rbbnp
Rendered fromdensity-estimation.Rmdusingknitr::rmarkdownon Jun 09 2026.Last update: 2026-06-09
Started: 2026-06-09
Get Started with rbbnp
Rendered fromrbbnp.Rmdusingknitr::rmarkdownon Jun 09 2026.Last update: 2026-06-09
Started: 2026-06-09
Regression with rbbnp
Rendered fromregression.Rmdusingknitr::rmarkdownon Jun 09 2026.Last update: 2026-06-09
Started: 2026-06-09
Theoretical Background
Rendered fromtheory.Rmdusingknitr::rmarkdownon Jun 09 2026.Last update: 2026-06-09
Started: 2026-06-09
