INFERENCE FROM LARGE SETS OF RADIOCARBON DATES: SOFTWARE AND METHODS

• DOI: 10.1017/rdc.2020.95
• Publication Date: 2020-10-06T05:03:43Z
• Authors: Enrico R Crema; Andrew Bevan
• Keywords: Statistical Inference

ABSTRACT The last decade has seen the development of a range new statistical and computational techniques for analysing large collections radiocarbon ( 14 C) dates, often but not exclusively to make inferences about human population change in past. Here we introduce rcarbon , an open-source software package R computing language which implements many these looks foster transparent future study their strengths weaknesses. In this paper, review key assumptions, limitations potentials behind analyses summed probability distribution C including Monte-Carlo simulation-based tests, permutation spatial analyses. Supplementary material provides fully reproducible analysis with further details covered main paper.