Functions for Performing Local FDR Estimation when Null and Alternative are Poisson


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Documentation for package ‘LocFDRPois’ version 1.0.0

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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