QuadratiK 1.1.2 (Development version)

Added NEWS.md file
More detailed information in the README file and documentation (the methods are more usable and clearer for a broader audience).

Added badges for rOpenSci review status, test coverage, R CMD CHECK, CRAN downloads
Addition of test codes with testthat package.
In particular, testing that random sampling from the PKBD and the wrapped Cauchy distribution is equivalent.

scatter-plots related to the clustering algorithm results.
computation of evaluation measures (pkdc_validation function) when the true labels are not provided.

The help documentation for the methods defined for the classes in the package can be accessed directly (addition of roxygen tag @name and

QuadratiK 1.1.1 (2024-06-05)

print() and summary() methods of the kb.test object for the two and k-sample tests

Add GitHub links to the DESCRIPTION file
Add unit tests
Add CONTRIBUTING.md
Add srr standards for the categories: General, Clustering and Probability Distributions
Add methods for the clustering object pkbc: show(), summary(), estract_stats(), plot() and predict()
Add vignette generate_rpkb.Rmd
Add CODE_OF_CONDUCT.md
Create the GitHub page using pkgdown
Add V-statistic for Normality test, with corresponding Critical Value and Degrees of Freedom with the function DOF_norm()
Update kb.test S4 class slots, kb.test() function, unit-test codes, summary() and print() method for including the V-statistic
Add Trace statistic for two and k-sample tests
Add computation of the Variance for two and k-sample tests

Addition of GitHub workflows for R-CMD-check, test-coverage and pkgcheck
Update codes to check arguments of function pk.test()
Update codes to check arguments of function kb.test() and select_h()
Modify indentation and assignments (using ‘<-’) following goodpractice standards
Update references in README.md file

Add codemeta.json to .Rbuildignore
Add CONTRIBUTING.md to .Rbuildignore
Fix warning from internal function compare_qq()
Add doc folder to .gitignore
Modify returned test statistics multiplying them by the sample size
Remove “Nonparam” centering option for the Normality test
Critical value of the V-statistic divided by the variance in the function pk.test()

summary_stat() and validation() substituted by estract_stats() and pkbc_validation()