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comp_postsd

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)
ashr

Methods for Adaptive Shrinkage, using Empirical Bayes

v2.2-47
GPL (>= 3)
Authors
Matthew Stephens [aut], Peter Carbonetto [aut, cre], Chaoxing Dai [ctb], David Gerard [aut], Mengyin Lu [aut], Lei Sun [aut], Jason Willwerscheid [aut], Nan Xiao [aut], Mazon Zeng [ctb]
Initial release
2020-02-19

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