AnalyticalOptim         Optimize lambda0 and pi0, using Poisson version
                        of analytical approach in Efron's "Microarrays,
                        Empirical Bayes, and the Two-Groups Model" In
                        the paper, he derives formulas for arbitrary
                        support. We use support [0, 1] for estimating
                        the null. We initialize the search with
                        lambda=0.05 and pi=0.95.
BuildTable              Build a table corresponding to the histogram of
                        data
LLConstructor           Return log-likelihood function giving Poisson
                        version of equation (4.6) in "Microarrays,
                        Empirical Bayes, and the Two-Groups model" by
                        Efron.
LocfdrFuns              Run local fdr functions
MixtureDensity          Compute full mixture density for data, assuming
                        exponential family model
NullDensity             Estimate the density for the null data
SummarizeLocfdr         Call and summarize output to LocfdrFuns
