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

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.

AuthorKris Sankaran [aut, cre]
Date of publication2015-05-05 06:43:01
MaintainerKris Sankaran <kriss1@stanford.edu>
LicenseGPL-2
Version1.0.0

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Files

LocFDRPois
LocFDRPois/inst
LocFDRPois/inst/doc
LocFDRPois/inst/doc/localfdr-intro-vignette.R
LocFDRPois/inst/doc/localfdr-intro-vignette.html
LocFDRPois/inst/doc/localfdr-intro-vignette.Rmd
LocFDRPois/NAMESPACE
LocFDRPois/R
LocFDRPois/R/locfdr.R
LocFDRPois/vignettes
LocFDRPois/vignettes/localfdr-intro-vignette.Rmd
LocFDRPois/MD5
LocFDRPois/build
LocFDRPois/build/vignette.rds
LocFDRPois/DESCRIPTION
LocFDRPois/man
LocFDRPois/man/LocfdrFuns.Rd LocFDRPois/man/LLConstructor.Rd LocFDRPois/man/NullDensity.Rd LocFDRPois/man/AnalyticalOptim.Rd LocFDRPois/man/SummarizeLocfdr.Rd LocFDRPois/man/BuildTable.Rd LocFDRPois/man/MixtureDensity.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.