pcdf_post: pcdf_post

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

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))

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