Package: ArchaeoPhases 2.0

Anne Philippe

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>.

Authors:Anne Philippe [aut, cre], Marie-Anne Vibet [aut], Thomas S. Dye [ctb], Nicolas Frerebeau [aut]

ArchaeoPhases_2.0.tar.gz
ArchaeoPhases_2.0.zip(r-4.5)ArchaeoPhases_2.0.zip(r-4.4)ArchaeoPhases_2.0.zip(r-4.3)
ArchaeoPhases_2.0.tgz(r-4.4-any)ArchaeoPhases_2.0.tgz(r-4.3-any)
ArchaeoPhases_2.0.tar.gz(r-4.5-noble)ArchaeoPhases_2.0.tar.gz(r-4.4-noble)
ArchaeoPhases_2.0.tgz(r-4.4-emscripten)ArchaeoPhases_2.0.tgz(r-4.3-emscripten)
ArchaeoPhases.pdf |ArchaeoPhases.html✨
ArchaeoPhases/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/archaeostat/archaeophases/issues

On CRAN:

archaeologybayesian-statisticsgeochronologymarkov-chainradiocarbon-dates

96 exports 9 stars 1.69 score 2 dependencies 1 dependents 106 downloads

Last updated 3 months agofrom:76add93b495287d4ed2e0a7ce2fd5de9a4fdbec8

Exports:activityADAgeDepthallen_analyzeallen_complementallen_compositionallen_converseallen_illustrateallen_intersectallen_joint_concurrencyallen_observeallen_observe_frequencyallen_relationallen_relation_codeallen_relation_concurrentallen_relation_distinctallen_relation_stringallen_unionas_codaas_eventsas_phasesas.data.frameb2kBCBCEboundariesBPburycalendarcbind2CECreateMinMaxGroupcredible_intervalCredibleIntervaldates_hiatusDatesHiatusdurationelapseestimate_rangehiatusinterpolateinterval_credibleinterval_hdris_originalmarginal_plotmarginal_statisticsMarginalPlotMarginalProbaMarginalStatisticsmulti_credible_intervalmulti_dates_plotmulti_hpdmulti_marginal_plotmulti_marginal_statisticsMultiCredibleIntervalMultiDatesPlotMultiHPDMultiMarginalPlotMultiPhasePlotMultiPhasesGapMultiPhasesTransitionMultiPhaseTimeRangeMultiSuccessionPlotoccurrenceoccurrence_plotOccurrencePlotolderPhaseDurationPlotPhasePlotphasesphases_gapPhasesGapPhaseStatisticsPhasesTransitionPhaseTimeRangeplotpredictread_bcalread_chronomodel_eventsread_chronomodel_phasesread_oxcalsensitivitysortsort.liststartSuccessionPlotsummarytempotempo_activity_plottempo_plotTempoActivityPlotTempoPlottimetransitionundated_sampleyear_axis

Dependencies:aionarkhe