Package: QuadratiK 1.2.0

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_1.2.0.tar.gz
QuadratiK_1.2.0.zip(r-4.7)QuadratiK_1.2.0.zip(r-4.6)QuadratiK_1.2.0.zip(r-4.5)
QuadratiK_1.2.0.tgz(r-4.6-x86_64)QuadratiK_1.2.0.tgz(r-4.6-arm64)QuadratiK_1.2.0.tgz(r-4.5-x86_64)QuadratiK_1.2.0.tgz(r-4.5-arm64)
QuadratiK_1.2.0.tar.gz(r-4.7-arm64)QuadratiK_1.2.0.tar.gz(r-4.7-x86_64)QuadratiK_1.2.0.tar.gz(r-4.6-arm64)QuadratiK_1.2.0.tar.gz(r-4.6-x86_64)
QuadratiK_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
QuadratiK/json (API)

# 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:

On CRAN:

Conda:

cpp

5.71 score 1 stars 32 scripts 465 downloads 13 exports 91 dependencies

Last updated from:1c2d53ab18 (on main). Checks:14 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK227
linux-devel-x86_64OK242
pkgdown docsOK429
source / vignettesOK312
linux-release-arm64OK219
linux-release-x86_64OK237
macos-release-arm64OK120
macos-release-x86_64OK632
macos-oldrel-arm64OK219
macos-oldrel-x86_64OK286
windows-develOK183
windows-releaseOK200
windows-oldrelOK229
wasm-releaseOK156

Exports:dpkbkb.testpk.testpkbcpkbc_validationplotpredictrpkbsample_hypersphereselect_hshowstats_clusterssummary

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecorrplotcowplotcpp11DEoptimRDerivdoBydoParalleldplyrfarverforeachforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobanditeratorslabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamnormtmodelrmomentsmvtnormnlmenloptrnnetnumDerivpbkrtestpcaPPpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrlecuyerrobustbaserrcovrstatixS7scalesscatterplot3dsnSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Uniformity test on the Sphere
Multimodal example | References
Rendered fromuniformity.Rmdusingknitr::rmarkdown

Last update: 2026-05-02
Started: 2024-01-29

Introduction to the QuadratiK Package
Overview | Installation | Citation | Key features and basic usage | Goodness-of-Fit Tests | Test for uniformity on the sphere | Poisson kernel-based distribution (PKBD) | Clustering Algorithm for Spherical Data | Additional Resources | References
Rendered fromIntroduction.Rmdusingknitr::rmarkdown

Last update: 2026-05-02
Started: 2024-09-10

Clustering algorithm on the Wireless data
The Wireless Indoor Localization Data | Note | References
Rendered fromwireless_clustering.Rmdusingknitr::rmarkdown

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

Random sampling from the Poisson kernel-based density
Note | References
Rendered fromgenerate_rpkb.Rmdusingknitr::rmarkdown

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