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.

Getting started

Package details

AuthorGang Cheng [aut, cre], Yen-Chi Chen [aut]
MaintainerGang Cheng <mathchenggang@gmail.com>
LicenseMIT + file LICENSE
Version0.1.0
URL https://github.com/mathcg/debiased-inference  https://doi.org/10.1214/19-EJS1575 
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("debiasedInference")

Try the debiasedInference package in your browser

Any scripts or data that you put into this service are public.

debiasedInference documentation built on Sept. 29, 2026, 5:09 p.m.