PermutationDistribution {coin}R Documentation

Permutation Distribution of Conditional Independence Tests

Description

Density, distribution, quantile and support of permutation distributions of conditional independence tests.

Usage

dperm(object, x, ...)
pperm(object, q, ...)
qperm(object, p, ...)
support(object, p, ...)

Arguments

object an object inheriting from class IndependenceTest-class.
x value of a standardized statistic.
q value of a standardized statistic.
p a probability.
... further arguments (currently ignored).

Methods

dperm
density function of a permutation distribution.
pperm
distribution function of a permutation distribution.
qperm
quantile function for a permutation distribution.
support
the support of a permutation distribution.

Examples


### artificial 2-sample problem
df <- data.frame(y = rnorm(20), x = gl(2, 10))

### Ansari-Bradley test
at <- ansari_test(y ~ x, data = df, distribution = "exact")

### density of the exact distribution of the Ansari-Bradley statistic
dens <- sapply(support(at), dperm, object = at)

### 95% quantile
qperm(at, 0.95)

### one-sided p-value
pperm(at, statistic(at))


[Package coin version 0.3-3 Index]