get_cov_gammas: Covariance Matrices of Gamma Parameters

In PPgp/bayesTFR: Bayesian Fertility Projection

Covariance Matrices of Gamma Parameters

Description

From a given MCMC, obtain a covariance matrix of the \gamma_{ci} (i=1,2,3) parameters for each country c.

Usage

get.cov.gammas(mcmc.set = NULL, sim.dir = NULL, burnin = 200, chain.id = 1)

Arguments

mcmc.set	Object of class bayesTFR.mcmc.set. If it is NULL, the sim.dir is used to load existing simulation results.
sim.dir	Directory with existing MCMC simulation results. It is only used if mcmc.set is NULL.
burnin	Number of burn-in iterations to be discarded from the begining of the chain.
chain.id	Identifier of the MCMC to be used. By default the first chain is used.

Details

In order to speed-up MCMC convergence, the package contains default values of gamma covariance that were obtained from a previous run (they can be loaded using data(proposal_cov_gammas_cii)). However, this function allows to obtain new values and overwrite the default values by passing the resulting object to the run.tfr.mcmc function as the proposal_cov_gammas argument.

Value

A list with components:

values	An array of size nr_countries \times 3 \times 3 containing values of the covariance matrix of \gamma_{ci} (i=1,2,3) for each country c.
country_codes	A vector of size nr_countries. A covariance matrix values[i,,] corresponds to a country with the code country_codes[i].

Author(s)

Leontine Alkema, Hana Sevcikova

See Also

run.tfr.mcmc

Examples

## Not run: 
sim.dir <- file.path(find.package("bayesTFR"), "ex-data", "bayesTFR.output")
cov.gammas <- get.cov.gammas(sim.dir=sim.dir, burnin=0)
m <- run.tfr.mcmc(nr.chains=1, iter=10, proposal_cov_gammas=cov.gammas, verbose=TRUE)

## End(Not run)

PPgp/bayesTFR documentation built on Feb. 21, 2024, 2:04 a.m.