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pcdf_post

pcdf_post

Description

“parallel" vector version of cdf_post where c is a vector, of same length as betahat and sebetahat

Usage

pcdf_post(m, c, data)

Arguments

m

mixture distribution with k components
c

a numeric vector with n elements
data

depends on context

Value

an n vector, whose ith element is the cdf for beta_i at c_i

Examples

beta = rnorm(100,0,1)
betahat= beta+rnorm(100,0,1)
sebetahat=rep(1,100)
ash.beta = ash(betahat,1,mixcompdist="normal")
c = pcdf_post(get_fitted_g(ash.beta),beta,set_data(betahat,sebetahat))
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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