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mutoss (version 0.1-14)

Unified Multiple Testing Procedures

Description

Designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying 'mutossGUI'.

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Install

install.packages('mutoss')

Monthly Downloads

9,956

Version

0.1-14

License

GPL

Issues

1

Pull Requests

0

Stars

4

Forks

0

Maintainer

Kornelius Rohmeyer

Last Published

January 8th, 2026

Functions in mutoss (0.1-14)

mu.test.rates

Tests that different procedures used the same error rates.
hommel

Hommel's (1988) step-up-procedure
gatherStatistics

Gathering statistics from simulation()-Object
jointCDF.orderedUnif

Joint cumulative distribution function of order statistics of n iid. U(0,1)-distributed random variables
mu.test.name

Tests if all hypotheses have the same names.
linearStepUp

Linear Step Up Service Function...
hochberg

Hochberg (1988) step-up procedure
mu.test.class

Test for compatible classes for comparison...
indepBR

Blanchard-Roquain (2009) 1-stage adaptive step-up
holm

Holm's (1979) step-down-procedure
mu.test.same.data

Tests if the same pvalues were used by different procedures.
mu.test.type

Tests that different procedures use the same error types.
mutoss.models

Mutoss Models
notterman

Notterman data set
mutoss.apply

Applies a function to a Mutoss object.
mutoss.plotCI

mutoss.plotCI
multiple.down.adjust

A service function used by multiple...
nparcomp

Simultaneous confidence intervals for relative contrast effects...
multiple.down

Benjamini-Krieger-Yekutieli (2006) Multi-Stage Step-Down
multcomp.wrapper

Simultaneous confidence intervals for arbitrary parametric contrasts in unbalanced one-way layouts.
pval2locfdr

Strimmer et al.'s fdrtool-based local fdr
onesamp.marginal

Marginal one sample test
nparcomp.wrapper

Simultaneous confidence intervals for relative contrast effects...
paired.marginal

Marginal paired two sample test
printRejected

Internal MuTossProjekt-Function
regwq

REGWQ - Ryan / Einot and Gabriel / Welsch test procedure...
oracleBH

Bejamini-Hochberg (2000) oracle linear step-up Procedure...
ranktruncated

Rank truncated p-Value procedure...
pValuesPlot

A function plotting p-values...
pval2qval

Strimmer et al.'s fdrtool-based q-values
sidak

Sidak correction
rom

Rom's (1990) step-up-procedure.
twosamp.marginal

Marginal two sample test
snk

Student - Newman - Keuls rejective test procedure.
two.stage

A p-value procedure which controls the FDR for independent test statistics.
simulation

Simulation studies
tukey.wrapper

Tukey HSD test and simultaneous confidence intervals for all pairs comparisons...
storey_pi0_est

Storey-Taylor-Siegmund estimation of pi0 (finite sample version)
reject

reject
requireLibrary

Tries to load a package.
twostageBR

Blanchard-Roquain (2009) 2-stage adaptive step-up...
Mutoss-class

Class Mutoss
MutossMethod-class

Class MutossMethod
BR_pi0_est

Estimate of pi0 using the one-step Blanchard-Roquain procedure
ErrorControl-class

Class ErrorControl
ABH_pi0_est

Lowest Slope Line (LSL) method of Hochberg and Benjamini for estimating pi0
BY

Benjamini-Yekutieli (2001) step-up procedure
BlaRoq

Blanchard-Roquain (2008) step-up Procedure for arbitrary dependent p-Values...
BH

Benjamini-Hochberg (1995) linear step-up procedure
Qvalue

Storey's (2001) q-value Procedure...
BL

Benjamini-Liu (1999) step-down procedure
SUD

A general step-up-down procedure.
SidakSD

Sidak-like (1987) step-down procedure
aorc

Step-up-down test based on the asymptotically optimal rejection curve.
adaptiveBH

Benjamini-Hochberg (2000) adaptive linear step-up procedure
adaptiveSTS

Storey-Taylor-Siegmund (2004) adaptive step-up procedure
augmentation

Wrapper function to the augmentation methods of the multtest package.
SU

A general step-up procedure.
SD

A general step-down procedure.
adjPValuesPlot

A function plotting adjusted p-values...
TSBKY_pi0_est

Two-step estimation method of Benjamini, Krieger and Yekutieli for estimating pi0
bonferroni

Bonferroni correction...
gao

Xin Gao's non-parametric multiple test procedure is applied to Data.
fisher22_fast

Fisher (2x2) table association analysis for calculating one (marginal) p-value...
fisher23.marginal

Fisher-type (2x3) table association analysis for calculating all marginal p-values...
calculateBetaAdjustment

Calculating the beta adjustment factor for the asymptotically optimal rejection curve.
compareMutoss

Functions for comparing outputs of different procedures.
fisher22.marginal

Fisher (2x2) table association analysis for calculating all marginal p-values...
fisher23_fast

Fisher-type (2x3) table association analysis for calculating one (marginal) p-value...
ftest.marginal

Marginal F test
gatherParameters

Extracts the parameters from the simulation()-Object