coin (version 0.4-2)

PermutationDistribution: 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, ...)

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 to be passed to methods.

Examples

Run this code
### 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)

### plot density
plot(support(at), dens, type = "s")

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

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

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