coin (version 1.0-24)

Distribution: Distribution under the Null Hypothesis

Description

Specification of the exact, or approximation of the exact, conditional distribution of test statistics under the null hypothesis.

Usage

exact(algorithm = c("shift", "split-up"), fact = NULL)
approximate(B = 1000)
asymptotic(maxpts = 25000, abseps = 0.001, releps = 0)

Arguments

algorithm

a character, specifying the algorithm to be used for the computation of the exact conditional distribution.

fact

a positive integer to multiply the response values with.

B

a positive integer, the number of Monte-Carlo replications to approximate the exact conditional distribution.

maxpts

a positive integer, the maximum number of function values, see pmvnorm.

abseps

double, the absolute error tolerance, see pmvnorm.

releps

double, relative error tolerance, see pmvnorm.

Value

• An object of class exact, approximate or asymptotic, respectively.

Details

The distribution argument to independence_test can be specified with additional arguments using those functions.

Exact algorithms are currently only implemented for two-sample problems.