permNullTest: Permutation null distribution

In MaStatLab/MultiFit: Multiscale Fisher's Independence Test for Multivariate Dependence

Description

Simulate a permutation null distribution (per input data and testing parameters) for the global test statistics. See vignettes for examples of usage.

Usage

permNullTest(perm.null.sim = 10000L, xy, x = x, y = y, fit,
  parts = 4L, save.perm.null = FALSE, perm.null.fname = NULL,
  verbose = FALSE)

Arguments

perm.null.sim	Positive integer, the number of simulated values to be computed when a permutation null distribution is simulated.
xy	A list, whose first element corresponds to the matrix x as below, and its second element corresponds to the matrix y as below. If xy is not specified, x and y need to be assigned.
x	A matrix, number of columns = dimension of random vector, number of rows = number of observations.
y	A matrix, number of columns = dimension of random vector, number of rows = number of observations.
fit	An object generated by multiFit.
parts	Positive integer, divide computation to four parts. Useful for getting a sense of progress (when verbose=TRUE) or for distributing memory requirement.
save.perm.null	Logical, if TRUE, save the permutation null into an RData file named perm.null.fname
perm.null.fname	String, file name to which to save an RData file containing the permutation null if save.perm.null=TRUE.
verbose	Logical.

MaStatLab/MultiFit documentation built on Jan. 11, 2020, 5:11 p.m.