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.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-03-19 |
| DOI: | 10.32614/CRAN.package.kernopt |
| Author: | Tristan Senga Kiesse
 [aut],
Gilles Durrieu
[aut],
Thomas Fillon
[aut, cre],
INRAE, Institut Agro, CNRS - UMR SAS [cph],
Université de Bretagne Sud, CNRS - UMR 6205 LMBA [cph] |
| Maintainer: | Thomas Fillon <thomas.fillon at univ-ubs.fr> |
| BugReports: | https://github.com/thomasfillon/kernopt/issues |
| License: | GPL (≥ 3) |
| URL: | https://thomasfillon.github.io/kernopt/, https://github.com/thomasfillon/kernopt |
| NeedsCompilation: | no |
| Citation: | kernopt citation info |
| Materials: | README NEWS |
| CRAN checks: | kernopt results |
Documentation:
| Reference manual: | kernopt.pdf |
| Vignettes: |
Applications on Real Data (source, R code) Application on Simulated Data (source, R code) Graphic Comparison Of Discrete Kernels (source, R code) |
Downloads:
| Package source: | kernopt_1.0.0.tar.gz |
| Windows binaries: | r-devel: kernopt_1.0.0.zip, r-release: kernopt_1.0.0.zip, r-oldrel: kernopt_1.0.0.zip |
| macOS binaries: | r-devel (arm64): kernopt_1.0.0.tgz, r-release (arm64): kernopt_1.0.0.tgz, r-oldrel (arm64): kernopt_1.0.0.tgz, r-devel (x86_64): kernopt_1.0.0.tgz, r-release (x86_64): kernopt_1.0.0.tgz, r-oldrel (x86_64): kernopt_1.0.0.tgz |
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