ArchaeoPhases.

 



Authors :   Anne PhilippeMarie-Anne Vibet  and Thomas S. Dye


Description


  1. The package ArchaeoPhases  provides a list of functions for the statistical analysis and

the post-processing of the Markov Chains simulated  for instance by  Bcal, ChronoModel and Oxcal :

  1.   Building a chronology by intervals [phasing]

  2. Testing the presence of hiatus

  3. Estimation of a transition between two phases.

  4. Tempo plot 


References :


  1. 1.Philippe, M.-A. Vibet. (2017)  Analysis of archaeological phases using the CRAN package ArchaeoPhases ArchaeoPhases.pdf  <hal-01347895>

  2. 2.A. Philippe, M.-A. Vibet. (2017)  A note on the Bayesian modelling of the Stratigraphic chronology of Caminar Abajo, Cuba.

  3. 3.Philippe A. Vibet M-A  et Bahain J-J (2017) Chronologie de mise en place des différentes couches stratigraphiques du site d'Havrincourt In  Les Occupations moustériennes et Gravettiennes d’Havavrincourt. Ed E. Goval et D. Herission.  To appear

  4. 4.Guerin, Antoine, Schmidt, Goval, Hérisson, Jamet, Reyss,  Shao, Philippe, Vibet, Bahain, (2017)  Chronology of the Upper Pleistocene loess sequence of Havrincourt (France) and associated Palaeolithic occupations: a Bayesian approach from pedostratigraphy, OSL, radiocarbon TL and ESR/U-series data.  Quaternary Geochronology,  Volume 42,  Pages 15-30


 

Documentation :


  1. The  description of the statistic tools implemented in ArchaeoPhases  with example for Chronomodel users  is available  Here - PDF file -  

[last updated July 2017- Thanks to Ray Kidd]


  1. Supplementary materiel for Oxcal users Here - PDF file -


  1. Package on the CRAN package repository  : Download

  2. Reference manual of CRAN package : PDF

  3. Vignette : here

  4. Web application  to use R functions available in 

ArchaeoPhases package.


Use the application online : here  [No need to know R ]

or

Launch the application from R

> app_ArchaeoPhases()


Presentation SEMIN-R at «Muséum national

d’histoire naturelle», June 2017 site semin-R and PDF



 

This  project is partially supported by