summary-mcmc: Summary Statistics for Life Expectancy MCMCs

In bayesLife: Bayesian Projection of Life Expectancy

Summary Statistics for Life Expectancy MCMCs

Description

Summary of an object bayesLife.mcmc.set or bayesLife.mcmc, computed via run.e0.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 'bayesLife.mcmc.set'
summary(object, country = NULL, chain.id = NULL, 
    par.names = NULL, par.names.cs = NULL, meta.only = FALSE, 
    thin = 1, burnin = 0, ...)
	
## S3 method for class 'bayesLife.mcmc'
summary(object, country = NULL,
    par.names = NULL, par.names.cs = NULL, thin = 1, burnin = 0, ...)

Arguments

object	Object of class bayesLife.mcmc.set or bayesLife.mcmc.
country	Country name or code if a country-specific summary is desired. It can also be given as ISO-2 or ISO-3 characters.
chain.id	Identifiers of MCMC chains. By default, all chains are considered.
par.names	Country independent parameters to be included in the summary. Run e0.parameter.names() for defaults.
par.names.cs	Country-specific parameters to be included in the summary. Run e0.parameter.names.cs() for defaults.
meta.only	Logical. If it is TRUE, only meta information of the simulation is included.
thin	Thinning interval. Only used if larger than the thin argument used in run.e0.mcmc.
burnin	Number of iterations to be discarded from the beginning of each chain before computing the summary.
...	Additional arguments passed to the summary.mcmc function of the coda package.

Author(s)

Hana Sevcikova

See Also

bayesLife.mcmc.set, summary.mcmc

Examples

sim.dir <- file.path(find.package("bayesLife"), "ex-data", "bayesLife.output")
m <- get.e0.mcmc(sim.dir)
summary(m, country="Czechia", burnin=20)

# names and codes of countries included
head(get.countries.table(m, iso = TRUE))
# using an ISO code
summary(m, country="MG", burnin=20)

bayesLife documentation built on Sept. 16, 2023, 9:07 a.m.