cutChain: Modify Markov Chains with Burn-in and Thining

In geoCount: Analysis and Modeling for Geostatistical Count Data

Description

This function takes the results from runMCMC and modifies the chains of posterior samples for burn-in and thinning.

Usage

cutChain(res, chain.ind=2:4, burnin, thinning)

Arguments

res	a list with elements containing the posterior samples of latent variables and parameters; usually the output from runMCMC
chain.ind	the index of elements in "res" that will be modified
burnin	the number for burn-in
thinning	the number for thining

Value

A list with elements containing the modified posterior samples.

Author(s)

Liang Jing [e-mail]

See Also

runMCMC, mixChain.

Examples

## Not run: 
res <- runMCMC(Y, L=0, loc=loc, MCMCinput = input )
res.m <- cutChain(res, chain.ind=1:4, burnin=100, thining=10)

## End(Not run)

geoCount documentation built on May 2, 2019, 12:38 a.m.