Package: kde1d
Type: Package
Title: Univariate Kernel Density Estimation
Version: 1.0.4
Authors@R: c(
        person("Thomas", "Nagler",, "mail@tnagler.com", role = c("aut", "cre")),
        person("Thibault", "Vatter",, "thibault.vatter@gmail.com", role = c("aut"))
        )
Description: Provides an efficient implementation of univariate local polynomial
    kernel density estimators that can handle bounded and discrete data. See 
    Geenens (2014) <arXiv:1303.4121>, 
    Geenens and Wang (2018) <arXiv:1602.04862>, 
    Nagler (2018a) <arXiv:1704.07457>, 
    Nagler (2018b) <arXiv:1705.05431>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: BH, Rcpp, RcppEigen
Imports: graphics, Rcpp, randtoolbox, stats, utils
RoxygenNote: 7.1.2
Suggests: testthat
URL: https://github.com/tnagler/kde1d
BugReports: https://github.com/tnagler/kde1d/issues
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2022-03-17 00:25:12 UTC; n5
Author: Thomas Nagler [aut, cre],
  Thibault Vatter [aut]
Maintainer: Thomas Nagler <mail@tnagler.com>
Repository: CRAN
Date/Publication: 2022-03-17 00:50:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-05-12 13:13:23 UTC; windows
Archs: x64
