Man pages for QuadratiK
Collection of Methods Constructed using Kernel-Based Quadratic Distances

breast_cancerBreast Cancer Wisconsin (Diagnostic)
compare_qqQQ-plot of given two samples using ggplot2
compute_CVCompute the critical value for two-sample KBQD tests
compute_statsCompute and display some descriptive statistics for the two...
cv_ksampleCompute the critical value for the KBQD k-sample tests
DOFDegrees of freedom (DOF) for the Poisson kernel
DOF_normDegrees of freedom (DOF) for the Normal kernel
dpkbThe Poisson kernel-based Distribution (PKBD)
generate_SNGenerate two samples data from skew-normal distributions
kb.testKernel-based quadratic distance (KBQD) Goodness-of-Fit tests
kb.test-classAn S4 class for kernel-based distance tests with normal...
normal_CVCompute the critical value for the KBQD tests for...
pkbcPoisson kernel-based clustering on the sphere
pkbc-classA S4 class for the clustering algorithm on the sphere based...
pkbc_validationValidation of Poisson kernel-based clustering results
pk.testPoisson kernel-based quadratic distance test of Uniformity on...
pk.test-classAn S4 class for Poisson kernel-based quadratic distance...
plot.pkbcPlotting method for Poisson kernel-based clustering
poisson_CVCompute the critical value for the Poisson KBQD tests for...
predict.pkbcCluster spherical observations using a mixture of Poisson...
QuadratiK-packageCollection of Methods Constructed using the Kernel-Based...
sample_hypersphereGenerate random sample from the hypersphere
select_hSelect the value of the kernel tuning parameter
stats_clustersDescriptive statistics for the clusters identified by the...
summary.kb.testSummarizing kernel-based quadratic distance results
summary.pkbcSummarizing PKBD mixture Fits
summary.pk.testSummarizing kernel-based quadratic distance results
var_kExact variance of k-sample test
var_normExact variance of normality test
var_twoExact variance of two-sample test
wineWine data set
wirelessWireless Indoor Localization
QuadratiK documentation built on Oct. 29, 2024, 5:08 p.m.