GaGa hierarchical model for microarray data analysis

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Documentation for package ‘gaga’ version 1.2.0

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checkfit Check goodness-of-fit of GaGa and MiGaGa models
classpred Predict the class that a new sample belongs to.
dcgamma Approximate gamma shape distribution
findgenes Find differentially expressed genes after GaGa fit.
fitGG Fit GaGa hierarchical model
geneclus Cluster genes into expression patterns.
getpar Extract hyper-parameter estimates from a gagafit object
mcgamma Approximate gamma shape distribution
parest Parameter estimates and posterior probabilities of differential expression for GaGa and MiGaGa model
posmeansGG Gene-specific posterior means
powclasspred Expected probability that a future sample is correctly classified.
print.gagaclus Print an object of class gagaclus
print.gagafit Print an object of class gagafit
print.gagahyp Print an object of class gagahyp
rcgamma Approximate gamma shape distribution
simGG Prior predictive simulation
simnewsamples Posterior predictive simulation