summaryMcmcChain: MCMC results
In timflutre/rutilstimflutre: Timothee Flutre's personal R code
summaryMcmcChain R Documentation
MCMC results
Description
Return effective sample size, posterior mean, time-series standard error of the posterior mean (i.e. without ignoring autocorrelation; based on an estimate of the spectral density at 0 via spectrum0.ar), posterior standard deviation, and posterior quantiles (at 0.025, 0.5, 0.975).
Usage
summaryMcmcChain(res.mcmc, param.names)
Arguments
res.mcmc
object of class "mcmc" (not "mcmc.list"!)
param.names
parameter names in the columns of res.mcmc
Value
matrix with parameters in rows
Author(s)
Timothee Flutre
timflutre/rutilstimflutre documentation built on Feb. 7, 2024, 8:17 a.m.
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| summaryMcmcChain | R Documentation |
MCMC results
Description
Return effective sample size, posterior mean, time-series standard error of the posterior mean (i.e. without ignoring autocorrelation; based on an estimate of the spectral density at 0 via spectrum0.ar), posterior standard deviation, and posterior quantiles (at 0.025, 0.5, 0.975).
Usage
summaryMcmcChain(res.mcmc, param.names)
Arguments
res.mcmc |
object of class "mcmc" (not "mcmc.list"!) |
param.names |
parameter names in the columns of res.mcmc |
Value
matrix with parameters in rows
Author(s)
Timothee Flutre
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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