coin1.4-3 package

Conditional Inference Procedures in a Permutation Test Framework

coin-package

General Information on the coin Package

ContingencyTests

Tests of Independence in Two- or Three-Way Contingency Tables

CorrelationTests

Correlation Tests

expectation-methods

Extraction of the Expectation, Variance and Covariance of the Linear S...

IndependenceLinearStatistic-class

Class "IndependenceLinearStatistic"

IndependenceProblem-class

Class "IndependenceProblem"

IndependenceTest-class

Class "IndependenceTest" and Its Subclasses

IndependenceTest

General Independence Test

IndependenceTestProblem-class

Class "IndependenceTestProblem"

IndependenceTestStatistic-class

Class "IndependenceTestStatistic" and Its Subclasses

LocationTests

Two- and KK-Sample Location Tests

MarginalHomogeneityTests

Marginal Homogeneity Tests

MaximallySelectedStatisticsTests

Generalized Maximally Selected Statistics

NullDistribution-class

Class "NullDistribution" and Its Subclasses

NullDistribution-methods

Computation of the Reference Distribution

NullDistribution

Specification of the Reference Distribution

PermutationDistribution-methods

Computation of the Permutation Distribution

PValue-class

Class "PValue"

pvalue-methods

Computation of the pp-Value, Mid-pp-Value, pp-Value Interval and Te...

ScaleTests

Two- and KK-Sample Scale Tests

statistic-methods

Extraction of the Test Statistic and the Linear Statistic

SurvivalTests

Two- and KK-Sample Tests for Censored Data

SymmetryProblem-class

Class "SymmetryProblem"

SymmetryTest

General Symmetry Test

SymmetryTests

Symmetry Tests

Transformations

Functions for Data Transformation

VarCovar-class

Class "VarCovar" and its subclasses

Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems described in <doi:10.18637/jss.v028.i08>.