IndependenceLinearStatistic-class

initialize,IndependenceLinearStatistic-method

Objects of class <code>"IndependenceLinearStatistic"</code> represent the linear
  statistic and the transformed and original data structures corresponding to an
  independence problem.

classes

Conditional inference procedures for the general independence
  problem including two-sample, K-sample (non-parametric ANOVA), correlation,
  censored, ordered and multivariate problems.

Torsten Hothorn

coin

Conditional Inference Procedures in a Permutation Test Framework

IndependenceLinearStatistic-class function

Objects can be created by calls of the form new("IndependenceLinearStatistic", object, varonly = FALSE, \dots)
  where <code>object</code> is an object of class
  <code>"<links4class>IndependenceTestProblem</links4class>"</code>, <code>varonly</code> is a logical
  indicating that slot <code>covariance</code> (see <squote>Slots</squote>) should only
  contain the diagonal elements of the covariance matrix.

Objects from the Class

Class <code>"<links4class>IndependenceTestProblem</links4class>"</code>, directly. Class <code>"<links4class>IndependenceProblem</links4class>"</code>, by class
  <code>"<links4class>IndependenceTestProblem</links4class>"</code>, distance 2.

Extends

Class <code>"<links4class>IndependenceTestStatistic</links4class>"</code>, directly.Class <code>"<links4class>MaxTypeIndependenceTestStatistic</links4class>"</code>, by class
  <code>"<links4class>IndependenceTestStatistic</links4class>"</code>, distance 2. Class <code>"<links4class>QuadTypeIndependenceTestStatistic</links4class>"</code>, by class
  <code>"<links4class>IndependenceTestStatistic</links4class>"</code>, distance 2. Class <code>"<links4class>ScalarIndependenceTestStatistic</links4class>"</code>, by class
  <code>"<links4class>IndependenceTestStatistic</links4class>"</code>, distance 2.

IndependenceLinearStatistic-class: Class `"IndependenceLinearStatistic"`

Description

Arguments

Objects from the Class

Extends

Known Subclasses