calculate pvalue for a particular beta (or any measure), using a bootstraplike measure. allows subsampling where as bootstrap is sampling with replacement. allows shuffling of residuals for linear model. the .iter version of each function will perform 200 iterations on the full dataset, then 5000 iterations on those with a simulated pvalue < 2 / 200, then 1e5 iteration on probes with simulated pvalue < 2 / 1e5 ... etc. So that we get higher precision at lower pvalues.
Package details 


Author  Brent Pedersen 
Maintainer  <[email protected]> 
License  MIT 
Version  1.0 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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