bayesTFR (version 1.2-0)

summary.bayesTFR.mcmc.set: Summary Statistics for TFR Markov Chain Monte Carlo Chains

Description

Summary of an object bayesTFR.mcmc.set or bayesTFR.mcmc, computed via run.tfr.mcmc. It can be obtained either for all countries or for a specific country, and either for all parameters or for specific parameters. The function uses the summary.mcmc function of the coda package.

Usage

## S3 method for class 'bayesTFR.mcmc.set':
summary(object, country = NULL, chain.id = NULL, 
    par.names = tfr.parameter.names(trans = TRUE), 
    par.names.cs = tfr.parameter.names.cs(trans = TRUE), 
    meta.only = FALSE, thin = 1, burnin = 0, ...)
	
## S3 method for class 'bayesTFR.mcmc':
summary(object, country = NULL,
    par.names = tfr.parameter.names(trans = TRUE), 
    par.names.cs = tfr.parameter.names.cs(trans = TRUE), 
    thin = 1, burnin = 0, ...)

Rdversion

1.1

See Also

bayesTFR.mcmc.set, summary.mcmc

Examples

sim.dir <- file.path(.find.package("bayesTFR"), "ex-data", 'bayesTFR.output')
m <- get.tfr.mcmc(sim.dir)
summary(m, country='Czech Republic', burnin=20)