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kernopt: Estimating Count Data Distributions with Discrete Optimal Symmetric Kernel
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.
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Package details |
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| Author | Tristan Senga Kiesse [aut] (<https://orcid.org/0000-0003-2710-5825>), Gilles Durrieu [aut] (<https://orcid.org/0000-0003-0375-912X>), Thomas Fillon [aut, cre] (<https://orcid.org/0000-0003-1207-8414>), INRAE, Institut Agro, CNRS - UMR SAS [cph], Université de Bretagne Sud, CNRS - UMR 6205 LMBA [cph] |
| Maintainer | Thomas Fillon <thomas.fillon@univ-ubs.fr> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://thomasfillon.github.io/kernopt/ https://github.com/thomasfillon/kernopt |
| Package repository | View on CRAN |
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