Package: tiltdens Type: Package Title: Tilted and Data-Sharpened Nonparametric Density Estimation Version: 0.2.1 Authors@R: person("Hassan", "Doosti", email = "hassan.doosti@mq.edu.au", role = c("aut", "cre", "cph")) Description: High-order nonparametric density estimators built by perturbing a conventional kernel estimator, either by re-weighting the observations ("tilting") or by moving them ("data sharpening"). The perturbation is chosen so that the estimator inherits the fast convergence rate of an infinite-order kernel estimator, such as the sinc or trapezoidal flat-top estimator, while remaining a proper non-negative density without the oscillatory tails those estimators suffer from. Two criteria are provided: minimising the L2 distance to an infinite-order comparator, following Doosti and Hall (2016) , and minimising a cross-validation criterion that needs no comparator and is much faster, following Doosti, Hall and Mateu (2018) . License: MIT + file LICENSE Encoding: UTF-8 Language: en-GB Depends: R (>= 3.5.0) Imports: graphics, stats, quadprog Suggests: testthat (>= 3.0.0), knitr, rmarkdown VignetteBuilder: knitr RoxygenNote: 7.3.1 Config/testthat/edition: 3 URL: https://github.com/DoostiH/tiltdens BugReports: https://github.com/DoostiH/tiltdens/issues Repository: https://doostih.r-universe.dev Date/Publication: 2026-10-02 02:08:10 UTC RemoteUrl: https://github.com/doostih/tiltdens RemoteRef: HEAD RemoteSha: bc1cc9d1e91bc2cd9e0862632865d5201bf865d3 NeedsCompilation: no Packaged: 2026-10-02 06:09:53 UTC; root Author: Hassan Doosti [aut, cre, cph] Maintainer: Hassan Doosti