comp_cdf_post: comp_cdf_post

In ashr: Methods for Adaptive Shrinkage, using Empirical Bayes

comp_cdf_post

Description

evaluate cdf of posterior distribution of beta at c. m is the prior on beta, a mixture; c is location of evaluation assumption is betahat | beta ~ t_v(beta,sebetahat)

Usage

comp_cdf_post(m, c, data)

Arguments

m	mixture distribution with k components
c	a scalar
data	details depend on model

Value

a k by n matrix

Examples

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

ashr documentation built on Aug. 22, 2023, 1:07 a.m.