Description Usage Arguments Value Author(s) References See Also Examples
Performs the test from Cai, Liu, and Xia (2014) for testing equality of two mean vectors on multiple data sets generated by build2popData
when the population covariances matrices can be assumed equal.
1 | CLX.sim.equalcov(DATA)
|
DATA |
an object returned by |
A data frame with columns
TSvalues |
values of the test statistic. |
pvalues |
the p values. |
Karl Gregory kgregory@mail.uni-mannheim.de, http://www.stat.tamu.edu/~kbgregory.
Cai, T. T., Liu, W. & Xia, Y. (2014). Two-sample test of high dimensional means under dependence. J. R. Statist. Soc. B.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 |
## Not run:
DATA <-build2popData(
n = 15,
m = 20,
p = 500,
muX = rep(0,500),
muY = rep(0,500),
commoncov = FALSE,
VarScaleY = 1,
dep = "ARMA",
ARMAparms = list(coefs=list(ma=c(.2,.3) , ar=c(.4,-.1))),
LRparm = .75,
S = 25,
innov = function(n,...) rnorm(n,0,1),
heteroscedastic=TRUE,
het.diag = diag(.1 + rexp(500,1/2))
)
CLX.sim.equalcov(DATA)
## End(Not run)
|
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