GaGa hierarchical model for microarray data analysis

Documentation for package ‘gaga’ version 1.12.0

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