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kernopt  

Estimating Count Data Distributions with Discrete Optimal Symmetric Kernel
View on CRAN: Click here


Download and install kernopt package within the R console
Install from CRAN:
install.packages("kernopt")

Install from Github:
library("remotes")
install_github("cran/kernopt")

Install by package version:
library("remotes")
install_version("kernopt", "1.0.0")



Attach the package and use:
library("kernopt")
Maintained by
Thomas Fillon
[Scholar Profile | Author Map]
First Published: 2025-03-19
Latest Update: 2025-03-19
Description:
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.
How to cite:
Thomas Fillon (2025). kernopt: Estimating Count Data Distributions with Discrete Optimal Symmetric Kernel. R package version 1.0.0, https://cran.r-project.org/web/packages/kernopt. Accessed 07 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for kernopt
Functions, R codes and Examples using the kernopt R package
Full kernopt package functions and examples
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