RChronoModel0.4 package

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

CreateMinMaxGroup

Constructing the minimum and the maximum for a group of dates(phase)

CredibleInterval

Bayesian credible interval

DatesHiatus

Test for the existence of a hiatus between two parameters

ImportCSV

Importing a CSV file containing the output of the MCMC algorithm

MarginalPlot

Plot of a marginal posterior density

MarginalProba

Bayesian test for anteriority / posteriority between two parameters

MarginalStatistics

Marginal summary statistics

MultiCredibleInterval

Bayesian credible intervals for a series of dates

MultiDatesPlot

Plot of the endpoints of credible intervals or HPD intervals of a seri...

MultiHPD

Bayesian highest posterior density regions for a series of MCMC chains

MultiPhasePlot

Plot of the marginal posterior densities of several phases

MultiPhasesGap

Gap/Hiatus between a succession of phases (for phases in temporal orde...

MultiPhasesTransition

Transition range for a succession of phases (for phases in temporal or...

MultiPhaseTimeRange

Phase Time Range for multiple phases

MultiSuccessionPlot

Successive Phases Density Plots (for phases in temporal order constrai...

PhaseDurationPlot

Plot of the marginal posterior densities of the duration of a phase

PhasePlot

Plot of the marginal posterior densities of a phase

PhasesGap

Gap or Hiatus between two successive phases (for phases in temporal or...

PhaseStatistics

Summary statistics for a phase

PhasesTransition

Transition range between two successive phases (for phases in temporal...

PhaseTimeRange

Phase Time Range

SuccessionPlot

Density Plots of two successive phases (for phases in temporal order c...

TempoActivityPlot

Plot of the activity of events

TempoPlot

Plot of the occurence of events

Provides a list of functions for the statistical analysis and the post-processing of the Markov Chains simulated by ChronoModel (see <http://www.chronomodel.fr> for more information). ChronoModel is a friendly software to construct a chronological model in a Bayesian framework. Its output is a sampled Markov chain from the posterior distribution of dates component the chronology. The functions can also be applied to the analyse of mcmc output generated by Oxcal software.