buildPatterns           Build a matrix with all possible patterns given
                        a number of groups where samples may belong to.
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
                        or Normal-Normal fit.
fitGG                   Fit GaGa hierarchical model
forwsimDiffExpr         Forward simulation for differential expression.
geneclus                Cluster genes into expression patterns.
getpar                  Extract hyper-parameter estimates from a
                        gagafit or nnfit object
parest                  Parameter estimates and posterior probabilities
                        of differential expression for GaGa and MiGaGa
                        model
plotForwSim             Plot forward simulation trajectories
posmeansGG              Gene-specific posterior means
powclasspred            Expected probability that a future sample is
                        correctly classified.
powfindgenes            Power computations for differential expression
print.gagaclus          Print an object of class gagaclus
print.gagafit           Print an object of class gagafit or nnfit
print.gagahyp           Print an object of class gagahyp
seqBoundariesGrid       Evaluate expected utility for parametric
                        sequential stopping boundaries.
simGG                   Prior predictive simulation
simnewsamples           Posterior predictive simulation
