Estimating Count Data Distributions with Discrete Optimal Symmetric Kernel R package kernopt version 1.0.0 Implementation of Discrete Symmetric Optimal Kernel for estimating count data distributions, as described by T. Senga Kiessé and G. Durrieu (2024) <doi:10.1016/j.spl.2024.110078>.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. Software Depends: R (>= 2.10) Imports: stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Thomas Fillon <thomas.fillon@univ-ubs.fr> Comprehensive R Archive Network (CRAN) Tristan Senga Kiesse [aut] (ORCID: <https://orcid.org/0000-0003-2710-5825>), Gilles Durrieu [aut] (ORCID: <https://orcid.org/0000-0003-0375-912X>), Thomas Fillon [aut, cre] (ORCID: <https://orcid.org/0000-0003-1207-8414>), INRAE, Institut Agro, CNRS - UMR SAS [cph], Université de Bretagne Sud, CNRS - UMR 6205 LMBA [cph] GPL (>= 3) 2025-03-19 application/tgz https://CRAN.R-project.org/package=kernopt doi:10.32614/CRAN.package.kernopt