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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.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Suggests: testthat (≥ 3.0.0)
Published: 2026-09-29
DOI: 10.32614/CRAN.package.debiasedInference
Author: Gang Cheng [aut, cre], Yen-Chi Chen [aut]
Maintainer: Gang Cheng <mathchenggang at gmail.com>
BugReports: https://github.com/mathcg/debiased-inference/issues
License: MIT + file LICENSE
URL: https://github.com/mathcg/debiased-inference, https://doi.org/10.1214/19-EJS1575
NeedsCompilation: no
Citation: debiasedInference citation info
Materials: README
CRAN checks: debiasedInference results

Documentation:

Reference manual: debiasedInference.html , debiasedInference.pdf

Downloads:

Package source: debiasedInference_0.1.0.tar.gz
Windows binaries: r-devel: debiasedInference_0.1.0.zip, r-release: not available, r-oldrel: debiasedInference_0.1.0.zip
macOS binaries: r-release (arm64): debiasedInference_0.1.0.tgz, r-oldrel (arm64): debiasedInference_0.1.0.tgz, r-release (x86_64): debiasedInference_0.1.0.tgz, r-oldrel (x86_64): debiasedInference_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.