Description Usage Arguments Details Value Author(s) References Examples

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

1 2 3 4 | ```
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).

1 2 3 4 5 | ```
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);
``` |

ECFsup documentation built on June 20, 2017, 9:13 a.m.

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