mcmcSampler {beast}

MCMC sampler

Description

This function implements the Metropolis-Hastings MCMC sampler for individual time-series.

Usage

mcmcSampler(myData, nIter, finalIterationPdf, modelVariance, mhPropRange, 
mhSinglePropRange, movesRange, startPoint, postPar, dName, timeScale, 
burn, iterPerPlotPrefix, priorParameters, L = 3, LRange, tau, 
gammaParameter, saveTheta, Prior = "complexity")

Arguments

myData

observed data.

nIter

number of mcmc iterations

finalIterationPdf

output folder

modelVariance

null

mhPropRange

positive integer

mhSinglePropRange

positive integer

movesRange

null

startPoint

positive integer

postPar

list of emprirically estimated parameters

dName

subject ID

timeScale

null

burn

burn-in period.

iterPerPlotPrefix

null

priorParameters

prior parameters.

L

null

LRange

range of possible values of the number of change-points.

tau

real.

gammaParameter

real.

saveTheta

TRUE.

Prior

character.

Value

MCMC output.

Author(s)

Panagiotis Papastamoulis