Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <doi:10.48550/arXiv.1303.4121>, Geenens and Wang (2018) <doi:10.48550/arXiv.1602.04862>, Nagler (2018a) <doi:10.48550/arXiv.1704.07457>, Nagler (2018b) <doi:10.48550/arXiv.1705.05431>.
Version: 1.1.1 Imports: graphics, Rcpp, randtoolbox, stats, utils LinkingTo: BH, Rcpp, RcppEigen Suggests: testthat Published: 2025-06-12 DOI: 10.32614/CRAN.package.kde1d Author: Thomas Nagler [aut, cre], Thibault Vatter [aut] Maintainer: Thomas Nagler <mail at tnagler.com> BugReports: https://github.com/tnagler/kde1d/issues/ License: MIT + file LICENSE URL: https://tnagler.github.io/kde1d/ NeedsCompilation: yes Materials: README NEWS CRAN checks: kde1d results Documentation: Reference manual: kde1d.pdf Downloads: Package source: kde1d_1.1.1.tar.gz Windows binaries: r-devel: kde1d_1.1.1.zip, r-release: kde1d_1.1.1.zip, r-oldrel: kde1d_1.1.1.zip macOS binaries: r-release (arm64): kde1d_1.1.1.tgz, r-oldrel (arm64): kde1d_1.1.1.tgz, r-release (x86_64): kde1d_1.1.1.tgz, r-oldrel (x86_64): kde1d_1.1.1.tgz Old sources: kde1d archive Reverse dependencies: Reverse imports: rvinecopulib, vinereg Reverse linking to: portvine, rvinecopulib, vinereg Linking:Please use the canonical form https://CRAN.R-project.org/package=kde1d to link to this page.
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