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.
|Author||Federico Mattiello [aut, cre]|
|Date of publication||2015-04-04 16:14:05|
|Maintainer||Federico Mattiello <email@example.com>|
|License||GPL (>= 2)|
BHS: Multiplicity adjustment by Bonferroni-Holm-Shaffer's rule
DesM: Design Matrix For Pairwise Differences
dummyze: From Factor To Dummy Variables
FWEminP: FWE Adjustment Using Permutation
initialize-methods: Methods for function 'initialize' in package 'SOUP':...
iterNPC: Iterated NonParametric Combination
makePermSpaceID: Constructs Row Indices Permutation Space
makePValueMat: Construct Univariate _p_-Values Matrix
NPC: NonParametric Combination of Test Statistic
orthoX: Residualises the response variables _w.r.t._ the matrix of...
PermSpace-class: Class 'PermSpace'
print-methods: 'signature(x = "PermSpace")' It prints the whole object on...
PValueMat-class: Class 'PValueMat'
rankingRule: Performs the ranking
RankResults-class: Ranking Results
RankResults-method: Methods for function 'as.list' in package 'SOUP'
show-methods: 'signature(object = "PermSpace")' Shows only the main...
SOUP: SOUP Main Function
SoupObject-class: Class 'SoupObject'
t2p: From Test Statistics To _p_-Values