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rbbnp  

A Bias Bound Approach to Non-Parametric Inference
View on CRAN: Click here


Download and install rbbnp package within the R console
Install from CRAN:
install.packages("rbbnp")

Install from Github:
library("remotes")
install_github("cran/rbbnp")

Install by package version:
library("remotes")
install_version("rbbnp", "1.1.0")



Attach the package and use:
library("rbbnp")
Maintained by
Xinyu DAI
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-01
Latest Update: 2025-04-30
Description:
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) .
How to cite:
Xinyu DAI (2024). rbbnp: A Bias Bound Approach to Non-Parametric Inference. R package version 1.1.0, https://cran.r-project.org/web/packages/rbbnp. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:48), 0.1.0 (2024-02-01 11:40), 0.2.0 (2025-03-26 18:40), 0.3.0 (2025-04-30 21:20)
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Complete documentation for rbbnp
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