R: Simulating Realistic Gene Expression and Clinical Data

# 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