comp_postsd: comp_postsd

In stephens999/ashr: Methods for Adaptive Shrinkage, using Empirical Bayes

comp_postsd

Description

output posterior sd for beta for each component of prior mixture m,given data

Usage

comp_postsd(m, data)

Arguments

m	mixture distribution with k components
data	details depend on the model

Examples

beta = rnorm(100,0,1)
betahat= beta+rnorm(100,0,1)
ash.beta = ash(betahat,1,mixcompdist="normal")
data= set_data(betahat,rep(1,100))
comp_postmean(get_fitted_g(ash.beta),data)
comp_postsd(get_fitted_g(ash.beta),data)
comp_postprob(get_fitted_g(ash.beta),data)

stephens999/ashr documentation built on May 16, 2024, 3:10 a.m.