Package: GoFKernel 2.1-3

Jose M. Pavía

GoFKernel: Testing Goodness-of-Fit with the Kernel Density Estimator

Tests of goodness-of-fit based on a kernel smoothing of the data. References: Pavía (2015) <doi:10.18637/jss.v066.c01>.

Authors:Jose M. Pavía [aut, cre]

GoFKernel_2.1-3.tar.gz
GoFKernel_2.1-3.tar.gz(r-4.5-noble)GoFKernel_2.1-3.tar.gz(r-4.4-noble)
GoFKernel_2.1-3.tgz(r-4.4-emscripten)GoFKernel_2.1-3.tgz(r-4.3-emscripten)
GoFKernel.pdf |GoFKernel.html✨
GoFKernel/json (API)

# Install 'GoFKernel' in R:
install.packages('GoFKernel', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:r-gofkernel-2.1_3(2025-03-25)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.18 score 5 packages 630 downloads 8 exports 1 dependencies

Last updated 4 months agofrom:4641b09c8e. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-linuxOKMar 06 2025
R-4.4-linuxOKMar 06 2025

Exports:area.betweendensity.reflecteddgeometric.testfan.testinverserandom.functionrisk76.1929support.facto

Dependencies:KernSmooth

Citation

To cite GoFKernel in publications use:

Jose M. Pavia (2015). Testing Goodness-of-Fit with the Kernel Density Estimator: GoFKernel. Journal of Statistical Software, Code Snippets, 66(1), 1-27. URL https://www.jstatsoft.org/v66/c01/.

Corresponding BibTeX entry: 

  @Article{,
    title = {Testing Goodness-of-Fit with the Kernel Density Estimator:
      {GoFKernel}},
    author = {Jose M. Pavía},
    journal = {Journal of Statistical Software, Code Snippets},
    year = {2015},
    volume = {66},
    number = {1},
    pages = {1--27},
    url = {https://www.jstatsoft.org/v66/c01/},
  }