ArchaeoPhases - Post-Processing of Markov Chain Monte Carlo Simulations for Chronological Modelling
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>.
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markov-chainbayesian-statisticsgeochronologyradiocarbon-datesarchaeologyarchaeological-science
6.47 score 11 stars 59 scripts 285 downloadsArchaeoChron - Bayesian Modeling of Archaeological Chronologies
Provides a list of functions for the Bayesian modeling of archaeological chronologies. The Bayesian models are implemented in 'JAGS' (Plummer 2003). The inputs are measurements with their associated standard deviations and the study period. The output is the MCMC sample of the posterior distribution of the event date with or without radiocarbon calibration.
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markov-chainbayesian-statisticsgeochronologyradiocarbon-datesarchaeologyarchaeological-sciencejagscpp
3.83 score 4 stars 17 scripts 21 downloadsArchaeoCal - An R Interface to 'OxCal'
What the package does (one paragraph).
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geochronologyoxcalradiocarbon-calibrationradiocarbon-dates
2.00 score 2 stars