TMTI (version 1.0.1)

kFWER_TMTI: kFWER_TMTI. Computes the largest rejection set possible with kFWER control.

Description

kFWER_TMTI. Computes the largest rejection set possible with kFWER control.

Usage

kFWER_TMTI(
  pvals,
  k,
  alpha = 0.05,
  B = 1000,
  gammaList = NULL,
  tau = NULL,
  K = NULL,
  verbose = FALSE
)

Value

The number of marginal hypotheses that can be rejected with kFWER control.

Arguments

pvals

A vector p-values.

k

An integer denoting the desired k at which to control the kFWER.

alpha

Significance level.

B

Number of bootstrap replications if gamma needs to be approximated. Not used if specifying a list of functions using the gammaList argument or if length(pvals) <= 100. Defaults to 1000.

gammaList

A list of pre-specified gamma functions. If NULL, gamma functions will be approximated via bootstrap, assuming independence. Defaults to NULL.

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.

verbose

Logical, indicating whether or not to print progress.

Examples

nfalse = 50
m = 100
pvals = c (
  sort(runif(nfalse, 0, 0.05 / m)),
  sort(runif(m - nfalse, 0.1, 1))
)
kFWER_TMTI (
  pvals = pvals,
  k = 5,
  alpha = 0.05,
  verbose = FALSE
)