simRanCQ: simulation of randomization test and CQ test

Description Usage Arguments

Description

simulation of randomization test and CQ test

Usage

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simRanCQ(n, p, M, mu, sparse, B, SNR, innov = list(type = "MA", innov =
  "normal"), maParam = NULL, factorParam = NULL, needPvalue = FALSE)

Arguments

n

n

p

p

M

simulate M times test procedure to compute empirical power

mu

mean value

B

resample B times to get randomization test

SNR

the signal noise ratio we need, mean value will scale to fit this SNR

k

Moving average parameter

rho

Moving average parameter


kfeng123/randomizationTest documentation built on May 12, 2019, 2:02 p.m.