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kernopt: Estimating Count Data Distributions with Discrete OptimalSymmetric 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 KiesseORCID iD [aut], Gilles DurrieuORCID iD [aut], Thomas FillonORCID 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.html ,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-release (arm64):kernopt_1.0.0.tgz, r-oldrel (arm64):kernopt_1.0.0.tgz, r-release (x86_64):kernopt_1.0.0.tgz, r-oldrel (x86_64):kernopt_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=kernoptto link to this page.


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