simulate_ppc: Generate posterior predictive check values from a model
In kgori/sigfit: Flexible Bayesian inference of mutational signatures
View source: R/sigfit_utility.R
Description
Generate posterior predictive check values from a model
Usage
1
simulate_ppc(mcmc_samples)
Arguments
mcmc_samples
List with two elements named `data` and `results`, produced via
fit_signatures, extract_signatures, or
fit_extract_signatures.
kgori/sigfit documentation built on Feb. 3, 2022, 12:04 p.m.
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View source: R/sigfit_utility.R
Description
Generate posterior predictive check values from a model
Usage
1 | simulate_ppc(mcmc_samples)
|
Arguments
mcmc_samples |
List with two elements named |
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.
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