PhaseDurationPlot: Plot of the marginal posterior densities of the duration of a...

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

Description

This function draws the marginal posterior densities of the time elapsed between the minimum and the maximum of the dates included in a phase, and adds summary statistics (mean, CI)

Usage

PhaseDurationPlot(PhaseMin_chain, PhaseMax_chain, level=0.95, 
title = "Duration of the phase", colors = T, GridLength=1024)

Arguments

PhaseMin_chain	numeric vector containing the output of the MCMC algorithm for the minimum of the dates included in the phase
PhaseMax_chain	numeric vector containing the output of the MCMC algorithm for the maximum of the dates included in the phase
level	probability corresponding to the level of confidence used for the credible interval and the time range
title	title of the graph
colors	if TRUE -> use of colors in the graph
GridLength	length of the grid used to estimate the density

Value

A plot with the marginal posterior densities of the duration of a phase and adds several summary statistics (mean, Credible interval, Time range)

Author(s)

Anne Philippe <[e-mail]> and

Marie-Anne Vibet <[e-mail]>

Examples

  data(Phases); attach(Phases)

  PhaseDurationPlot(Phase.1.alpha, Phase.1.beta, 0.95, "Duration of Phase 1")
  PhaseDurationPlot(Phase.2.alpha, Phase.2.beta, 0.95, "Duration of Phase 2",colors = FALSE)

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