Simulating Realistic Gene Expression and Clinical Data

---

Documentation for package ‘Umpire’ version 2.0.11

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

addControl	Method "addControl"
addControl-method	Method "addControl"
alterMean	Methods "alterMean" and "alterSD"
alterMean-method	The "Engine" Class
alterMean-method	The "IndependentNormal" Class
alterMean-method	The "IndependentLogNormal" Class
alterMean-method	The "MVN" Class
alterMean-method	Methods "alterMean" and "alterSD"
alterSD	Methods "alterMean" and "alterSD"
alterSD-method	The "Engine" Class
alterSD-method	The "IndependentNormal" Class
alterSD-method	The "IndependentLogNormal" Class
alterSD-method	The "MVN" Class
alterSD-method	Methods "alterMean" and "alterSD"
BlockHyperParameters	The "BlockHyperParameters" Class
BlockHyperParameters-class	The "BlockHyperParameters" Class
blur	Method "blur"
blur-method	The "NoiseModel" Class
blur-method	Method "blur"
CancerEngine	The "CancerEngine" Class
CancerEngine-class	The "CancerEngine" Class
CancerModel	The "CancerModel" Class
CancerModel-class	The "CancerModel" Class
ClinicalEngine	The "CancerEngine" Class
ClinicalNoiseModel	A Noise Model for Clinical Data
correl	The "MVN" Class
covar	The "MVN" Class
Engine	The "Engine" Class
Engine-class	The "Engine" Class
EngineWithActivity	The "EngineWithActivity" Class
EngineWithActivity-class	The "EngineWithActivity" Class
getDaisyTypes	Discretize a Continuous Data Set to Mixed Types
getDataTypes	Discretize a Continuous Data Set to Mixed Types
IndependentLogNormal	The "IndependentLogNormal" Class
IndependentLogNormal-class	The "IndependentLogNormal" Class
IndependentNormal	The "IndependentNormal" Class
IndependentNormal-class	The "IndependentNormal" Class
invGammaMultiple	Transform functions
makeBlockStructure	The "BlockHyperParameters" Class
makeDataTypes	Discretize a Continuous Data Set to Mixed Types
MixedTypeEngine	The "MixedTypeEngine" Class
MixedTypeEngine-class	The "MixedTypeEngine" Class
MVN	The "MVN" Class
MVN-class	The "MVN" Class
ncol-method	The "CancerModel" Class
nComponents	Method "nComponents"
nComponents-method	The "Engine" Class
nComponents-method	The "CancerEngine" Class
nComponents-method	Method "nComponents"
nHitsPerPattern	The "CancerModel" Class
NoiseModel	The "NoiseModel" Class
NoiseModel-class	The "NoiseModel" Class
normalOffset	Transform functions
NormalVsCancerEngine	Simulating Cancer Versus Normal Datasets
NormalVsCancerModel	Simulating Cancer Versus Normal Datasets
nPatterns	The "CancerModel" Class
nPossibleHits	The "CancerModel" Class
nrow-method	The "Engine" Class
nrow-method	The "IndependentNormal" Class
nrow-method	The "IndependentLogNormal" Class
nrow-method	The "MVN" Class
nrow-method	The "CancerModel" Class
nrow-method	The "CancerEngine" Class
outcomeCoefficients	The "CancerModel" Class
rand	Method "rand"
rand-method	The "Engine" Class
rand-method	The "EngineWithActivity" Class
rand-method	The "IndependentNormal" Class
rand-method	The "IndependentLogNormal" Class
rand-method	The "MVN" Class
rand-method	The "SurvivalModel" Class
rand-method	The "CancerModel" Class
rand-method	The "CancerEngine" Class
rand-method	Method "rand"
rand-method	The "MixedTypeEngine" Class
summary-method	The "Engine" Class
summary-method	The "EngineWithActivity" Class
summary-method	The "IndependentNormal" Class
summary-method	The "IndependentLogNormal" Class
summary-method	The "MVN" Class
summary-method	The "NoiseModel" Class
summary-method	The "CancerModel" Class
summary-method	The "CancerEngine" Class
summary-method	The "MixedTypeEngine" Class
survivalCoefficients	The "CancerModel" Class
SurvivalModel	The "SurvivalModel" Class
SurvivalModel-class	The "SurvivalModel" Class