pm_on_zero: Generic function to extract which components of mixture are...
In stephens999/ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
pm_on_zero R Documentation
Generic function to extract which components of mixture are point mass on 0
Description
Generic function to extract which components of mixture are point mass on 0
Usage
pm_on_zero(m)
Arguments
m
a mixture of k components generated by normalmix() or unimix() or igmix()
Value
a boolean vector indicating which components are point mass on 0
stephens999/ashr documentation built on March 16, 2024, 3:02 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| pm_on_zero | R Documentation |
Generic function to extract which components of mixture are point mass on 0
Description
Generic function to extract which components of mixture are point mass on 0
Usage
pm_on_zero(m)
Arguments
m |
a mixture of k components generated by normalmix() or unimix() or igmix() |
Value
a boolean vector indicating which components are point mass on 0
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.