simTwoSample: simulation of two sample permutation test for spiked model
In kfeng123/randomizationTest: randomization test
Description
simulation of two sample permutation test for spiked model
Usage
1
simTwoSample(n1, n2, p, M, sparse, B, SNR, modelParam, needPvalue = FALSE)
Arguments
p
p
M
simulate M times test procedure to compute empirical power
B
resample B times to get randomization test
SNR
the signal noise ratio we need, mean value will scale to fit this SNR
modelParam
the parameters of spiked model, including theSigmaSq, V, D, r
n
n
kfeng123/randomizationTest documentation built on May 12, 2019, 2:02 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
simulation of two sample permutation test for spiked model
Usage
1 | simTwoSample(n1, n2, p, M, sparse, B, SNR, modelParam, needPvalue = FALSE)
|
Arguments
p |
p |
M |
simulate M times test procedure to compute empirical power |
B |
resample B times to get randomization test |
SNR |
the signal noise ratio we need, mean value will scale to fit this SNR |
modelParam |
the parameters of spiked model, including theSigmaSq, V, D, r |
n |
n |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.