comp_dens_conv.normalmix: comp_dens_conv.normalmix

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

comp_dens_conv.normalmix

Description

returns density of convolution of each component of a normal mixture with N(0,s^2) at x. Note that convolution of two normals is normal, so it works that way

Usage

## S3 method for class 'normalmix'
comp_dens_conv(m, data, ...)

Arguments

m	mixture distribution with k components
data	a list with components x and s to be interpreted as a normally-distributed observation and its standard error
...	other arguments (unused)

Value

a k by n matrix

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