# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "kernopt" in publications use:' type: software license: GPL-3.0-or-later title: 'kernopt: Estimating Count Data Distributions with Discrete Optimal Symmetric Kernel' version: 1.0.0.9000 doi: 10.1016/j.spl.2024.110078 identifiers: - type: doi value: 10.32614/CRAN.package.kernopt abstract: Implementation of Discrete Symmetric Optimal Kernel for estimating count data distributions, as described by T. Senga Kiessé and G. Durrieu (2024) .The nonparametric estimator using the discrete symmetric optimal kernel was illustrated on simulated data sets and a real-word data set included in the package, in comparison with two other discrete symmetric kernels. authors: - family-names: Senga Kiesse given-names: Tristan email: tristan.senga-kiesse@inrae.fr orcid: https://orcid.org/0000-0003-2710-5825 - family-names: Durrieu given-names: Gilles email: gilles.durrieu@univ-ubs.fr orcid: https://orcid.org/0000-0003-0375-912X - family-names: Fillon given-names: Thomas email: thomas.fillon@univ-ubs.fr orcid: https://orcid.org/0000-0003-1207-8414 preferred-citation: type: article title: On a discrete symmetric optimal associated kernel for estimating count data distributions authors: - family-names: Kiessé given-names: Tristan Senga - family-names: Durrieu given-names: Gilles email: gilles.durrieu@univ-ubs.fr orcid: https://orcid.org/0000-0003-0375-912X journal: Statistics & Probability Letters volume: '208' year: '2024' issn: 0167-7152 doi: 10.1016/j.spl.2024.110078 abstract: The nonparametric estimator using discrete kernels is one competing alternative to the frequency estimator. We investigate a discrete symmetric optimal kernel. Its properties are established and studied by simulations. An application to real count data is given. start: '110078' repository: https://thomasfillon.r-universe.dev repository-code: https://github.com/thomasfillon/kernopt commit: f808a863edf7fd4f27fe0f3165cf7649d4f5ad31 url: https://thomasfillon.github.io/kernopt/ contact: - family-names: Fillon given-names: Thomas email: thomas.fillon@univ-ubs.fr orcid: https://orcid.org/0000-0003-1207-8414