TMTI (version 1.0.1)

gamma_bootstrapper: Function to bootstrap the Cumulative Distribution Functions (CDFs) of the TMTI statistics.

Description

Function to bootstrap the Cumulative Distribution Functions (CDFs) of the TMTI statistics.

Usage

gamma_bootstrapper(m, n = Inf, B = 1000, mc.cores = 1L, tau = NULL, K = NULL)

Value

An approximation of the function \(\gamma^m(x)\) under the assumption that all p-values are independent and exactly uniform.

Arguments

m

Number of tests.

n

Number (or Inf) indicating what kind of minimum to consider. Defaults to Inf, corresponding to the global minimum.

B

Number of bootstrap replicates. Rule of thumb is to use at least 10 * m.

mc.cores

Integer denoting the number of cores to use when using parallelization, Defaults to 1, corresponding to single-threaded computations.

tau

Numerical (in (0,1)); threshold to use in tTMTI. If set to NULL, then either TMTI (default) or rtTMTI is used.

K

Integer; Number of smallest p-values to use in rtTMTI. If se to NULL, then either TMTI (default) or tTMTI is used.

Examples

## Get an approximation of gamma
gamma_function = gamma_bootstrapper(10)
## Evaluate it in a number, say .2
gamma_function(.2)