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 ORCID iD [aut], Gilles Durrieu ORCID iD [aut], Thomas Fillon ORCID iD [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: not available, r-release: not available, 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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