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SOUP

Stochastic Ordering Using Permutations (and Pairwise Comparisons)

Construct a ranking of a set of treatments/groups by gathering together information coming from several response variables. It can be used with both balanced and unbalanced experiments (with almost all test statistics) as well as in presence of either continuous covariates or a stratifying (categorical) variable.

Functions (20)

BHS

Multiplicity adjustment by Bonferroni-Holm-Shaffer's rule

DesM

Design Matrix For Pairwise Differences

FWEminP

FWE Adjustment Using Permutation

NPC

NonParametric Combination of Test Statistic

PValueMat-class

Class PValueMat

PermSpace-class

Class PermSpace

RankResults-class

Ranking Results

RankResults-method

Methods for function as.list in package SOUP

SOUP

SOUP Main Function

SoupObject-class

Class SoupObject

dummyze

From Factor To Dummy Variables

initialize-methods

Methods for function initialize in package SOUP: constructor

iterNPC

Iterated NonParametric Combination

makePValueMat

Construct Univariate p-Values Matrix

makePermSpaceID

Constructs Row Indices Permutation Space

orthoX

Residualises the response variables w.r.t. the matrix of covariates like in the linear models, therefore projecting on the space I - H where H is the hat matrix of X

print-methods

signature(x = "PermSpace") It prints the whole object on screen (mostly useful for external saving)

rankingRule

Performs the ranking

show-methods

signature(object = "PermSpace") Shows only the main information (on screen) for the object

t2p

From Test Statistics To p-Values

SOUP

Stochastic Ordering Using Permutations (and Pairwise Comparisons)

v1.1

GPL (>= 2)

Authors

Federico Mattiello [aut, cre]

Initial release

2015-04-03

SOUP

Functions (20)

SOUP

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