rcpparma_ECFsup: Set of functions in ECPsup package
In ECFsup: Equal Covariance Functions Testing by L2-Norm and Sup-Norm

Description Usage Arguments Details Value Author(s) References Examples

Tests for equal covariance functions problem, implemented in C++.

rcpparma_L2stat(V, sample_num, k, p, n);
rcpparma_fKSCovL2(data, sample_num, k, p, n, Nsim);
rcpparma_maxstat(V, sample_num, k, p, n);
rcpparma_fKSCovsup(data, sample_num, k, p, n, Nsim);

`V`	centered data matrix
`data`	data matrix
`sample_num`	sample sizes vector
`k`	number of groups
`p`	number of time points
`n`	total number of samples
`Nsim`	number of pseudo samples by resampling

These are cpp versions of the tests for the ECF problem.

rcpparma_L2stat returns a numeric value computed as the test statistic of L2-norm test.

rcpparma_fKSCovL2 returns a double computed as the p-value of the L2-norm based test.

rcpparma_maxstat returns a numeric value computed as the test statistic of sup-norm test.

rcpparma_fKSCovsup returns a double computed as the p-value of the sup-norm based test.

Bu Zhou

ZHANG (2013), GUO et al. (2016), PAPARODITIS and SAPATINAS (2016), GUO et al. (2017).

  vn <- c(20,30,30); k <- length(vn); n <- sum(vn);
  p <- 100; Nsim <- 500;
  datamx <- matrix(rnorm(p*n),p,n,Nsim);
  rcpparma_fKSCovL2(datamx,vn,k,p,n,Nsim);
  rcpparma_fKSCovsup(datamx,vn,k,p,n,Nsim);