KSCovL2: L2-norm based test of equality of several covariance...

In ECFsup: Equal Covariance Functions Testing by L2-Norm and Sup-Norm

Description

L2-norm test of equality of several covariance functions, using resampling to approximate the null distribution.

Usage

KSCovL2(data, Nsim = 1000)

Arguments

data	The list variable containing k groups of presmoothed functional observations. Each element of the list is a p (number sampling points) by n (sample size) matrix.
Nsim	Number of pseudo samples by resampling, default=1000.

Details

L2-norm test of equality of several covariance functions, see Zhang (2013), Guo et al. (2016).

Value

The p-value of the test.

References

ZHANG (2013), GUO et al. (2016), PAPARODITIS and SAPATINAS (2016).

See Also

KSCovL2WS, KSCovsup.

Examples

fdata<-list();
fdata[[1]]<-matrix(rnorm(200),20,10);
fdata[[1]]<-matrix(rnorm(300),20,15);
KSCovL2(fdata)
KSCovL2(fdata, 500)

ECFsup documentation built on May 2, 2019, 1:08 p.m.