pk.test-class {QuadratiK} | R Documentation |
An S4 class for Poisson kernel-based quadratic distance tests.
Description
A class to represent the results of Poisson kernel-based quadratic distance tests for Uniformity on the sphere.
Slots
method
The method used for the test ("Poisson Kernel-based quadratic distance test of Uniformity on the Sphere").
x
Matrix of data
Un
The value of the U-statistic.
CV_Un
The critical value for Un computed through replications.
H0_Un
A logical value indicating whether or not the null hypothesis is rejected according to Un.
Vn
The value of the V-statistic.
CV_Vn
The critical value for Vn computed following the asymptotic distribution.
H0_Vn
A logical value indicating whether or not the null hypothesis is rejected according to Vn.
rho
The concentration parameter of the Poisson kernel.
B
Number of replications.
var_Un
exact variance of the kernel-based U-statistic.
Examples
# create a pk.test object
d=3
size=200
x_sp <- sample_hypersphere(d, n_points=size)
pk.test(x_sp,rho=0.8)
[Package QuadratiK version 1.1.1 Index]