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 |