Package: QuadratiK 1.1.4

Giovanni Saraceno

QuadratiK: Collection of Methods Constructed using Kernel-Based Quadratic Distances

It includes test for multivariate normality, test for uniformity on the d-dimensional Sphere, non-parametric two- and k-sample tests, random generation of points from the Poisson kernel-based density and clustering algorithm for spherical data. For more information see Saraceno G., Markatou M., Mukhopadhyay R. and Golzy M. (2024) <doi:10.48550/arXiv.2402.02290> Markatou, M. and Saraceno, G. (2024) <doi:10.48550/arXiv.2407.16374>, Ding, Y., Markatou, M. and Saraceno, G. (2023) <doi:10.5705/ss.202022.0347>, and Golzy, M. and Markatou, M. (2020) <doi:10.1080/10618600.2020.1740713>.

Authors:Giovanni Saraceno [aut, cre], Marianthi Markatou [aut], Raktim Mukhopadhyay [aut], Mojgan Golzy [aut], Hingee Kassel [rev], Emi Tanaka [rev]

QuadratiK_1.1.4.tar.gz
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QuadratiK_1.1.4.tgz(r-4.6-x86_64)QuadratiK_1.1.4.tgz(r-4.6-arm64)QuadratiK_1.1.4.tgz(r-4.5-x86_64)QuadratiK_1.1.4.tgz(r-4.5-arm64)
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QuadratiK_1.1.4.tgz(r-4.5-emscripten)
QuadratiK.pdf |QuadratiK.html✨
QuadratiK/json (API)
NEWS

# Install 'QuadratiK' in R:

install.packages('QuadratiK', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #632

Bug tracker:https://github.com/ropensci/quadratik/issues

Pkgdown/docs site:https://docs.ropensci.org

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

breast_cancer - Breast Cancer Wisconsin
wine - Wine data set
wireless - Wireless Indoor Localization

On CRAN:

cpp

5.58 score 1 stars 32 scripts 163 downloads 13 exports 98 dependencies

Last updated from:2f36fa0ecb (on main). Checks:14 OK. Indexed: yes.

Target	Result	Total time
linux-devel-arm64	OK	282
linux-devel-x86_64	OK	319
pkgdown docs	OK	353
source / vignettes	OK	290
linux-release-arm64	OK	286
linux-release-x86_64	OK	314
macos-devel-arm64	OK	267
macos-devel-x86_64	OK	341
macos-release-arm64	OK	253
macos-release-x86_64	OK	373
windows-devel	OK	277
windows-release	OK	338
windows-oldrel	OK	338
wasm-release	OK	155

Exports:dpkb kb.test pk.test pkbc pkbc_validation plot predict rpkb sample_hypersphere select_h show stats_clusters summary

Dependencies:abind backports boot broom car carData cli codetools colorspace corrplot cowplot cpp11 curl DEoptimR Deriv doBy doParallel dplyr farver foreach forecast Formula fracdiff generics ggplot2 ggpubr ggrepel ggsci ggsignif glue gridExtra gtable isoband iterators jsonlite labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa mnormt modelr moments mvtnorm nlme nloptr nnet numDeriv pbkrtest pcaPP pillar pkgconfig polynom purrr quadprog quantmod quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rlecuyer robustbase rrcov rstatix S7 scales scatterplot3d sn SparseM stringi stringr survival tibble tidyr tidyselect timeDate tseries TTR urca utf8 vctrs viridisLite withr xts zoo

Clustering algorithm on the Wireless data

Rendered fromwireless_clustering.Rmdusingknitr::rmarkdownon Jan 17 2026.

Last update: 2025-01-29
Started: 2024-01-29

Introduction to the QuadratiK Package

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Jan 17 2026.

Last update: 2025-02-04
Started: 2024-09-10

Random sampling from the Poisson kernel-based density

Rendered fromgenerate_rpkb.Rmdusingknitr::rmarkdownon Jan 17 2026.

Last update: 2025-01-29
Started: 2024-03-28

Uniformity test on the Sphere

Rendered fromuniformity.Rmdusingknitr::rmarkdownon Jan 17 2026.

Last update: 2025-01-29
Started: 2024-01-29

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Collection of Methods Constructed using the Kernel-Based Quadratic Distances	QuadratiK-package QuadratiK
Breast Cancer Wisconsin (Diagnostic)	breast_cancer
The Poisson kernel-based Distribution (PKBD)	dpkb rpkb
Kernel-based quadratic distance (KBQD) Goodness-of-Fit tests	kb.test kb.test,ANY-method show,kb.test-method
An S4 class for kernel-based distance tests with normal kernel	kb.test-class
Poisson kernel-based quadratic distance test of Uniformity on the sphere	pk.test pk.test,ANY-method show,pk.test-method
An S4 class for Poisson kernel-based quadratic distance tests.	pk.test-class
Poisson kernel-based clustering on the sphere	pkbc pkbc,ANY-method show,pkbc-method
Validation of Poisson kernel-based clustering results	pkbc_validation
A S4 class for the clustering algorithm on the sphere based on Poisson kernel-based distributions.	pkbc-class
Plotting method for Poisson kernel-based clustering	plot,pkbc,ANY-method plot.pkbc
Cluster spherical observations using a mixture of Poisson kernel-based densities	predict,pkbc-method predict.pkbc
Generate random sample from the hypersphere	sample_hypersphere
Select the value of the kernel tuning parameter	select_h
Descriptive statistics for the clusters identified by the Poisson kernel-based clustering.	stats_clusters stats_clusters,pkbc-method
Summarizing kernel-based quadratic distance results	summary,kb.test-method summary.kb.test
Summarizing kernel-based quadratic distance results	summary,pk.test-method summary.pk.test
Summarizing PKBD mixture Fits	summary,pkbc-method summary.pkbc
Wine data set	wine
Wireless Indoor Localization	wireless