Package: PSGoft 0.0.1

Piotr Sulewski

PSGoft: Modified Lilliefors Goodness-of-Fit Normality Test

Presentation of a new goodness-of-fit normality test based on the Lilliefors method. For details on this method see: Sulewski (2019) <doi:10.1080/03610918.2019.1664580>.

Authors:Piotr Sulewski [aut, cre]

PSGoft_0.0.1.tar.gz
PSGoft_0.0.1.tar.gz(r-4.5-noble)PSGoft_0.0.1.tar.gz(r-4.4-noble)
PSGoft_0.0.1.tgz(r-4.4-emscripten)PSGoft_0.0.1.tgz(r-4.3-emscripten)
PSGoft.pdf |PSGoft.html✨
PSGoft/json (API)
NEWS

# Install 'PSGoft' in R:
install.packages('PSGoft', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • data1 - A real data set on Dozer Cycle Times
  • data2 - A real data set on the height of five-year-old British boys

On CRAN:

Conda:

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

2.70 score 5 scripts 155 downloads 3 exports 1 dependencies

Last updated 2 years agofrom:8cd650cfd0. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 23 2025
R-4.5-linuxNOTEFeb 23 2025

Exports:MLF.pvalueMLF.statMLF.test

Dependencies:moments

PSGoft

Rendered fromPSGoft.Rmdusingknitr::rmarkdownon Feb 23 2025.

Last update: 2023-09-06
Started: 2023-09-06