ArchaeoPhases (version 1.8)

MultiHPD: Bayesian HPD regions for a series of MCMC chains

Description

Estimation of the highest posterior density regions for each variable of a simulated Markov chain. This function uses the hdr() function included in the hdrcde package. An HPD region may be a union of several intervals.

Usage

MultiHPD(data, position, level = 0.95, roundingOfValue = 0)

Arguments

data

Data frame containing the output of the MCMC algorithm.

position

Numeric vector containing the position of the column corresponding to the MCMC chains of interest.

level

Probability corresponding to the level of confidence.

roundingOfValue

Integer indicating the number of decimal places.

Value

Returns a matrix of values containing the level of confidence and the endpoints of each interval for each variable of the MCMC chain. The name of the resulting rows are the positions of the corresponding columns in the CSV file. The result is given in calendar years (BC/AD).

Details

Highest posterior density function region using the function hdr() from the hdrcd package

References

Hyndman, R.J. (1996) Computing and graphing highest density regions. American Statistician, 50, 120-126.

Examples

# NOT RUN {
  data(Events)
  MultiHPD(Events, c(2, 4, 3), 0.95)

# }