bayesTFR (version 4.1-2)

get.tfr.mcmc: Accessing MCMC Results

Description

The function get.tfr.mcmc retrieves results of an MCMC simulation of Phase II and creates an object of class bayesTFR.mcmc.set. Function has.tfr.mcmc checks the existence of such results. Functions get.tfr3.mcmc and has.tfr3.mcmc do the same for Phase III MCMCs. Function tfr.mcmc extracts a single chain and tfr.mcmc.list extracts several or all chains from the simulation results.

Usage

get.tfr.mcmc(sim.dir = file.path(getwd(), "bayesTFR.output"), 
    chain.ids = NULL, low.memory = TRUE, burnin = 0, verbose = FALSE)
has.tfr.mcmc(sim.dir)
get.tfr3.mcmc(sim.dir = file.path(getwd(), "bayesTFR.output"), ...)
has.tfr3.mcmc(sim.dir)
tfr.mcmc(mcmc.set, chain.id)
tfr.mcmc.list(mcmc.set, chain.ids=NULL)

Value

get.tfr.mcmc and get.tfr3.mcmc return an object of class bayesTFR.mcmc.set. has.tfr.mcmc and has.tfr3.mcmc return a logical value. tfr.mcmc returns an object of class bayesTFR.mcmc, and tfr.mcmc.list returns a list of bayesTFR.mcmc objects.

Rdversion

1.1

Details

Function get.tfr.mcmc is an accessor of results generated using run.tfr.mcmc and continue.tfr.mcmc. Function get.tfr3.mcmc can be used to access results generated using run.tfr3.mcmc and continue.tfr3.mcmc.

See Also

bayesTFR.mcmc.set

Examples

sim.dir <- file.path(find.package("bayesTFR"), "ex-data", "bayesTFR.output")
m <- get.tfr.mcmc(sim.dir)
summary(m)

# summary of the single chains
for(mc in tfr.mcmc.list(m)) print(summary(mc))