mcmcProcess: Function to remove burn-in and thin MCMC output
In nclbayes: Functions, Demos and Examples of Bayesian Analysis and Basic MCMC
Description
Function chops off burnin iterations and then thins the output by taking every thin iterates.
Usage
1
mcmcProcess(input, burnin = 1000, thin = 1)
Arguments
input
matrix containing MCMC realisations.
burnin
number of initial iterations to delete.
thin
level of thinning.
nclbayes documentation built on May 2, 2019, 5:53 p.m.
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Description
Function chops off burnin iterations and then thins the output by taking every thin iterates.
Usage
1 | mcmcProcess(input, burnin = 1000, thin = 1)
|
Arguments
input |
matrix containing MCMC realisations. |
burnin |
number of initial iterations to delete. |
thin |
level of thinning. |
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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