plot_ppc: Plot result of posterior predictive check
In kgori/sigfit: Flexible Bayesian inference of mutational signatures
View source: R/sigfit_plotting.R
Description
black = observed value is not extreme compared to the simulated distribution
yellow = observed value is in top or bottom 2.5
red = observed value is outside ppc simulations
Usage
1
Arguments
c
Integer matrix of observed counts.
c_ppc
Simulated posterior predictive counts obtained from
MCMC samples using extract(samples)$counts_ppc.
kgori/sigfit documentation built on Feb. 3, 2022, 12:04 p.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.
View source: R/sigfit_plotting.R
Description
black = observed value is not extreme compared to the simulated distribution yellow = observed value is in top or bottom 2.5 red = observed value is outside ppc simulations
Usage
1 |
Arguments
c |
Integer matrix of observed counts. |
c_ppc |
Simulated posterior predictive counts obtained from
MCMC samples using |
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.