QuadratiK 1.2.0 (2026-05-02)

The function select_h can be now used also for the normality test. The parameters mu and sigma are mandatory.
The skewness alternative is no longer supported for normality tests in select_h and kb.test functions.

The arguments of the class object pk.test have been renamed to match the terminology in the article by Ding, Markatou, Saraceno (2025) Statistica Sinica. Un and Vn statistics are now renamed to Tn and Sn respectively.
In the functions select_h and kb.test, the arguments mu_hat and sigma_hat have been renamed to mu and sigma for consistency.
Examples in the documentation have been changed accordingly.
Code testing has been updated accordingly.

QuadratiK 1.1.4 (2026-01-16)

Change computation of the M-step in the pkbc algorithm to handle larger dimensions
Improve pkbc function for reducing the computational time required

Uniform notation: d is dimension in Eucldean space with spherical data lying on the (d-1)-dimensional sphere
Specify dimension of input matrix x in clustering functions.
Improve explanation of Average Silhouette Width.
Better explanation of motivation for L2 normalization in the wireless data set application.

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 aliases).

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()