ac: Calculate the autocorrelation of a single chain, for a...
In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference
Description
Usage
Arguments
Value
References
Examples
View source: R/ggs_autocorrelation.R
Description
Calculate the autocorrelation of a single chain, for a specified amount of lags.
Usage
1
ac(x, nLags)
Arguments
x
Vector with a chain of simulated values.
nLags
Numerical value with the maximum number of lags to take into account.
Value
A matrix with the autocorrelations of every chain.
References
Fernández-i-Marín, Xavier (2016) ggmcmc: Analysis of MCMC Samples and Bayesian Inference. Journal of Statistical Software, 70(9), 1-20. doi:10.18637/jss.v070.i09
Internal function used by ggs_autocorrelation.
Examples
1
2
ggmcmc documentation built on Feb. 10, 2021, 5:10 p.m.
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Description Usage Arguments Value References Examples
View source: R/ggs_autocorrelation.R
Description
Calculate the autocorrelation of a single chain, for a specified amount of lags.
Usage
1 | ac(x, nLags)
|
Arguments
x |
Vector with a chain of simulated values. |
nLags |
Numerical value with the maximum number of lags to take into account. |
Value
A matrix with the autocorrelations of every chain.
References
Fernández-i-Marín, Xavier (2016) ggmcmc: Analysis of MCMC Samples and Bayesian Inference. Journal of Statistical Software, 70(9), 1-20. doi:10.18637/jss.v070.i09
Internal function used by ggs_autocorrelation.
Examples
1 2 |
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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