coin (version 1.0-24)

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

vector of a standardized statistics.

q

vector of a standardized statistics.

p

vector of probabilities.

...

further arguments to be passed to methods.

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)

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

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

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