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coin (version 1.4-5)

Conditional Inference Procedures in a Permutation Test Framework

Description

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

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Version

Install

install.packages('coin')

Monthly Downloads

43,592

Version

1.4-5

License

GPL-2

Maintainer

Torsten Hothorn

Last Published

July 10th, 2026

Functions in coin (1.4-5)

PermutationDistribution-methods

Computation of the Permutation Distribution

NullDistribution-class

Class "NullDistribution" and Its Subclasses

MarginalHomogeneityTests

Marginal Homogeneity Tests

Two- and \(K\)-Sample Location Tests

Two- and \(K\)-Sample Tests for Censored Data

MaximallySelectedStatisticsTests

Generalized Maximally Selected Statistics

NullDistribution-methods

Computation of the Reference Distribution

Two- and \(K\)-Sample Scale Tests

Class "PValue"

NullDistribution

Specification of the Reference Distribution

SymmetryProblem-class

Class "SymmetryProblem"

Toxicological Study on Female Wistar Rats

expectation-methods

Extraction of the Expectation, Variance and Covariance of the Linear Statistic

Genetic Components of Alcoholism

General Information on the coin Package

Smoking and Alzheimer's Disease

General Symmetry Test

Transformations

Functions for Data Transformation

Ovarian Carcinoma

Multiple Dosing Photococarcinogenicity Experiment

Acute Painful Diabetic Neuropathy

Chromosomal Effects of Mercury-Contaminated Fish Consumption

Left Ventricular Ejection Fraction

Maternal Drinking and Congenital Sex Organ Malformation

Malignant Glioma Pilot Study

jobsatisfaction

Income and Job Satisfaction

Class "VarCovar" and its subclasses

Computation of the \(p\)-Value, Mid-\(p\)-Value, \(p\)-Value Interval and Test Size

Unaided Distance Vision

statistic-methods

Extraction of the Test Statistic and the Linear Statistic

Tree Pipits in Franconian Oak Forests