half_permutation_fdr: Estimate the false discovery rate for the method across a...

In miheerdew/cbce: Correlation Bi-Community Extraction method

Estimate the false discovery rate for the method across a variety of parameters.

Description

For each parameter value, generate num.sims half-permuted datasets, and estimate the half-permutation FDR.

Usage

half_permutation_fdr(
  X,
  Y,
  alphas,
  num.sims,
  method = cbce.fast.fil,
  cov = NULL,
  fdr = "imp.pairs",
  filter = FALSE,
  timeout = Inf
)

Arguments

X, Y, cov	The original data that we intend to run the method on.
alphas	List of parameters to run the method on.
num.sims	The number of simulation to evaluate over.
method	The method to run. The method should take arguments X, Y, cov, alpha and return a collection of bi-modules.
fdr	The type of false discovery metric to use. Can be one of 'all.pairs' or 'imp.pairs'.
timeout	The maximum amount of time in seconds to let each method run, before stopping it. If set to Inf or NULL, the method will never be timed out.

Value

Returns a numeric vector of size length(alphas) that have the fdrs.

miheerdew/cbce documentation built on Aug. 28, 2023, 2:18 p.m.