mixcdf.default

a mixture (eg of type normalmix or unimix)

boolean indicating whether to report lower tail

lower.tail


The default version of <code><a rd-options="" href="/link/mixcdf?package=ashr&version=2.0.5" data-mini-rdoc="ashr::mixcdf">mixcdf</a></code>.


The R package 'ashr' implements an Empirical Bayes approach for large-scale hypothesis testing and false discovery rate (FDR) estimation based on the methods proposed in M. Stephens, 2016, "False discovery rates: a new deal", <DOI:10.1093/biostatistics/kxw041>. These methods can be applied whenever two sets of summary statistics---estimated effects and standard errors---are available, just as 'qvalue' can be applied to previously computed p-values. Two main interfaces are provided: ash(), which is more user-friendly; and ash.workhorse(), which has more options and is geared toward advanced users.

Peter Carbonetto

ashr

Methods for Adaptive Shrinkage, using Empirical Bayes

mixcdf.default function


The default version of <code><a rd-options='' href='mixcdf'>mixcdf</a></code>.


mixcdf.default: mixcdf.default

Description

Usage

Arguments