# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "rbbnp" in publications use:' type: software license: GPL-3.0-or-later title: 'rbbnp: A Bias Bound Approach to Non-Parametric Inference' version: 0.3.0 identifiers: - type: doi value: 10.32614/CRAN.package.rbbnp abstract: 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) . authors: - family-names: DAI given-names: Xinyu email: xinyu_dai@brown.edu - family-names: Schennach given-names: Susanne M preferred-citation: type: manual title: 'rbbnp: A Bias Bound Approach to Non-Parametric Inference' authors: - family-names: Dai given-names: Xinyu email: xinyu_dai@brown.edu year: '2025' notes: R package version 0.2.0 url: https://CRAN.R-project.org/package=rbbnp repository: https://xinyu-daidai.r-universe.dev commit: 40779dcfbae0c4d80eaed174331143884f6cb186 url: https://doi.org/10.1093/restud/rdz065 date-released: '2025-04-30' contact: - family-names: DAI given-names: Xinyu email: xinyu_dai@brown.edu