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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", "0.1.0")



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: 2024-02-01
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 0.1.0, https://cran.r-project.org/web/packages/rbbnp. Accessed 21 Dec. 2024.
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