The main idea of the Local FDR algorithm is to estimate both proportion of null observations and the ratio of null and alternative densities. In the case that there are many null observations, this can be done reliably, through maximum likelihood or generalized linear models. This package implements this in the case that the null and alternative densities are Poisson.
|Author||Kris Sankaran [aut, cre]|
|Date of publication||2015-05-05 06:43:01|
|Maintainer||Kris Sankaran <firstname.lastname@example.org>|
AnalyticalOptim: Optimize lambda0 and pi0, using Poisson version of analytical...
BuildTable: Build a table corresponding to the histogram of data
LLConstructor: Return log-likelihood function giving Poisson version of...
LocfdrFuns: Run local fdr functions
MixtureDensity: Compute full mixture density for data, assuming exponential...
NullDensity: Estimate the density for the null data
SummarizeLocfdr: Call and summarize output to LocfdrFuns
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