Package: rbbnp
Type: Package
Title: A Bias Bound Approach to Non-Parametric Inference
Version: 1.1.0
Authors@R: c(
    person("Xinyu", "DAI", email = "xinyu_dai@brown.edu", role = c("aut", "cre")),
    person("Susanne M", "Schennach", role = "aut"))
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) <doi:10.1093/restud/rdz065>. 
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://xinyudai.net/rbbnp-dev/
Imports: dplyr, ggplot2 (>= 3.4.0), gridExtra, pracma, purrr, Rglpk,
        tidyr
RoxygenNote: 7.3.3
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-07 05:53:15 UTC; clawdbot
Author: Xinyu DAI [aut, cre],
  Susanne M Schennach [aut]
Maintainer: Xinyu DAI <xinyu_dai@brown.edu>
Repository: CRAN
Date/Publication: 2026-06-09 02:30:02 UTC
Built: R 4.5.3; ; 2026-07-27 06:05:23 UTC; windows
