MultiCredibleInterval: Bayesian credible intervals for a series of dates

In RChronoModel: Post-Processing of the Markov Chain Simulated by ChronoModel or Oxcal

Description

Estimation of the shorest credible interval for each variables of simulated Markov chain.

Usage

MultiCredibleInterval(data, position, level = 0.95)

Arguments

data	dataframe 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 used to estimate the credible interval

Value

Returns a matrix of values containing the level of confidence and the endpoints of the shortest credible 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.

Author(s)

Anne Philippe <[e-mail]> and

Marie-Anne Vibet <[e-mail]>

Examples

  data(Events)
  MultiCredibleInterval(Events, c(2,4,3), 0.95)

RChronoModel documentation built on May 1, 2019, 10:06 p.m.