CRAN/E | QuadratiK

QuadratiK

Collection of Methods Constructed using Kernel-Based Quadratic Distances

Installation

About

It includes test for multivariate normality, test for uniformity on the 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., Golzy, M. (2024) , Ding, Y., Markatou, M., Saraceno, G. (2023) doi:10.5705/ss.202022.0347, and Golzy, M., Markatou, M. (2020) doi:10.1080/10618600.2020.1740713.

Key Metrics

Version 1.0.0
R ≥ 3.5.0
Published 2024-02-23 71 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks QuadratiK results

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Maintainer

Maintainer

Giovanni Saraceno

gsaracen@buffalo.edu

Authors

Giovanni Saraceno

aut / cre

(ORCID 000-0002-1753-2367)

Marianthi Markatou

aut

Raktim Mukhopadhyay

aut

Mojgan Golzy

ctb

Material

README
Reference manual
Package source

Vignettes

Non-parametric Two-sample test
k-sample test
Uniformity test on the Sphere
Clustering algorithm on the Wireless data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5.0

Imports

Rcpp
RcppEigen
sn
methods
stats
MASS
moments
mvtnorm
movMF
rlecuyer
foreach
doParallel
Tinflex
ggpp
ggplot2
rgl
clusterRepro
ggpubr
mclust
rrcov
cluster

Suggests

rmarkdown
testthat ≥ 3.0.0
roxygen2
knitr

LinkingTo

Rcpp
RcppEigen