bifactorial: Inferences for bi- and trifactorial trial designs

This package makes global and multiple inferences for given bi- and trifactorial clinical trial designs using bootstrap methods and a classical approach.

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AuthorPeter Frommolt
Date of publication2013-03-04 16:34:31
MaintainerPeter Frommolt <>

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avetest Man page
avetest,ANY-method Man page
avetest,carpet-method Man page
avetest-class Man page
avetest,cube-method Man page
bifactorial Man page
bifactorial-package Man page
carpet Man page
carpet,ANY,ANY-method Man page
carpet-class Man page
carpet,list,numeric-method Man page
cube Man page
cube,ANY,ANY-method Man page
cube-class Man page
cube,list,numeric-method Man page
margint Man page
margint,ANY-method Man page
margint,carpet-method Man page
margint-class Man page
margint,cube-method Man page
maxtest Man page
maxtest,ANY-method Man page
maxtest,carpet-method Man page
maxtest-class Man page
maxtest,cube-method Man page
mintest Man page
mintest,ANY-method Man page
mintest,carpet-method Man page
mintest-class Man page
mintest,cube-method Man page
plot,carpet,missing-method Man page
plot,cube,missing-method Man page
plot,margint,missing-method Man page
plot,mintest,missing-method Man page
show,avetest-method Man page
show,carpet-method Man page
show,cube-method Man page
show,margint-method Man page
show,maxtest-method Man page
show,mintest-method Man page
sidbp Man page
summary,avetest-method Man page
summary,carpet-method Man page
summary,cube-method Man page
summary,margint-method Man page
summary,maxtest-method Man page
summary,mintest-method Man page

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