allen_relate_intervals

Reads MCMC output to create a data frame suitable for plotting the observed
Allen relation of two intervals.

internal

Statistical analysis of archaeological dates and groups of
dates. This package allows to post-process Markov Chain Monte Carlo
(MCMC) simulations from 'ChronoModel' <https://chronomodel.com/>,
'Oxcal' <https://c14.arch.ox.ac.uk/oxcal.html> or 'BCal'
<https://bcal.shef.ac.uk/>. It provides functions for the study of
rhythms of the long term from the posterior distribution of a series
of dates (tempo and activity plot). It also allows the estimation and
visualization of time ranges from the posterior distribution of groups
of dates (e.g. duration, transition and hiatus between successive
phases) as described in Philippe and Vibet (2020)
<doi:10.18637/jss.v093.c01>.

Anne Philippe

ArchaeoPhases

Post-Processing of Markov Chain Monte Carlo Simulations for
Chronological Modelling

Marie-Anne Vibet

Nicolas Frerebeau

Thomas S. Dye

Nantes Université 

Université Bordeaux Montaigne 

CNRS 

allen_relate_intervals function

<dl><dt>mcmc</dt>
<dd>An <code>EventsMCMC</code> object containing the output of the
MCMC algorithm.</dd>
<dt>converse</dt>
<dd>A <code><a href="/link/logical?package=ArchaeoPhases&version=2.1.0" data-mini-rdoc="ArchaeoPhases::logical">logical</a></code> scalar: should converse relations be observed?</dd></dl>

Arguments

Author

Relate Two or More Observed Intervals — allen_relate_intervals

<dl>

<dt>mcmc</dt>
<dd>An <code>EventsMCMC</code> object containing the output of the
MCMC algorithm.</dd>


<dt>converse</dt>
<dd>A <code><a href='https://rdrr.io/r/base/logical.html'>logical</a></code> scalar: should converse relations be observed?</dd>

</dl>

Relate Two or More Observed Intervals

allen_relate_intervals: Relate Two or More Observed Intervals

Description

Usage

Value

Arguments

Author