plot_acf: Plot Autocorrelation for Multiple MCMC Chains (Posterior...
In penetrance: Methods for Penetrance Estimation in Family-Based Studies
View source: R/outputHelpers.R
plot_acf R Documentation
Plot Autocorrelation for Multiple MCMC Chains (Posterior Samples)
Description
This function plots the autocorrelation for sex-specific or non-sex-specific posterior samples across multiple MCMC chains.
It defaults to key parameters like asymptote_male_samples, asymptote_female_samples, etc.
Usage
plot_acf(results, n_chains, max_lag = 50)
Arguments
results
A list of MCMC chain results.
n_chains
The number of chains.
max_lag
Integer, the maximum lag to be considered for the autocorrelation plot. Default is 50.
Value
A series of autocorrelation plots for each chain.
penetrance documentation built on April 4, 2025, 12:29 a.m.
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View source: R/outputHelpers.R
| plot_acf | R Documentation |
Plot Autocorrelation for Multiple MCMC Chains (Posterior Samples)
Description
This function plots the autocorrelation for sex-specific or non-sex-specific posterior samples across multiple MCMC chains.
It defaults to key parameters like asymptote_male_samples, asymptote_female_samples, etc.
Usage
plot_acf(results, n_chains, max_lag = 50)
Arguments
results |
A list of MCMC chain results. |
n_chains |
The number of chains. |
max_lag |
Integer, the maximum lag to be considered for the autocorrelation plot. Default is 50. |
Value
A series of autocorrelation plots for each chain.
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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