Package: kernopt 1.0.0.9000

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.

Authors: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]

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kernopt.pdf |kernopt.html
kernopt/json (API)
NEWS

# Install 'kernopt' in R:
install.packages('kernopt', repos = c('https://thomasfillon.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/thomasfillon/kernopt/issues

Pkgdown site:https://thomasfillon.github.io

Datasets:
  • fish_data - Fish dataset from the SIMTAP project

On CRAN:

Conda:

5.18 score 7 exports 0 dependencies

Last updated 11 days agofrom:f808a863ed. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-winOKMar 20 2025
R-4.5-macOKMar 20 2025
R-4.5-linuxOKMar 20 2025
R-4.4-winOKMar 20 2025
R-4.4-macOKMar 20 2025
R-4.4-linuxOKMar 20 2025
R-4.3-winOKMar 20 2025
R-4.3-macOKMar 20 2025

Exports:cv_bandwidthdiscrete_binomialdiscrete_epanechdiscrete_kerneldiscrete_optimaldiscrete_triangestim_kernel

Dependencies:

Application on Simulated Data

Rendered fromapplications_simulated_data.Rmdusingknitr::rmarkdownon Mar 20 2025.

Last update: 2025-03-10
Started: 2025-03-10

Applications on Real Data

Rendered fromapplications_real_data.Rmdusingknitr::rmarkdownon Mar 20 2025.

Last update: 2025-03-18
Started: 2025-03-11

Graphic Comparison Of Discrete Kernels

Rendered fromgraph_kernels.Rmdusingknitr::rmarkdownon Mar 20 2025.

Last update: 2025-03-18
Started: 2025-03-03