sampalg-class: Sequential implementation of Monte Carlo tests
In jennyjyounglee/AclustsCCA: A Cluster Based Sparse Canonical Correlation Analayis to Test Associations Between A Multi-Pollutant Mixture and High-Dimentional DNA Methylation
sampalg-class R Documentation
Sequential implementation of Monte Carlo tests
Description
Wrapper function for convenient use of the sequential implementation of the Monte Carlo test.
Downloaded from simctest_2.6.tar.gz. This function is loaded to run mmctest.
INPUT
Arguments
gensample:
function that performs one sampling step. Returns 0 (sampled test statistic does not exceed the observation) or 1 (sampled test static exceeds the observation).
level:
level passed to getalgonthefly
epsilon:
error bound epsilon passed to getalgonthefly
maxsteps:
maximal number of steps to take
jennyjyounglee/AclustsCCA documentation built on June 15, 2022, 7:45 p.m.
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| sampalg-class | R Documentation |
Sequential implementation of Monte Carlo tests
Description
Wrapper function for convenient use of the sequential implementation of the Monte Carlo test.
Downloaded from simctest_2.6.tar.gz. This function is loaded to run mmctest.
INPUT
Arguments
gensample: |
function that performs one sampling step. Returns 0 (sampled test statistic does not exceed the observation) or 1 (sampled test static exceeds the observation). |
level: |
level passed to |
epsilon: |
error bound epsilon passed to |
maxsteps: |
maximal number of steps to take |
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.
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