Ancient Demographic Modelling Using Radiocarbon
ADMUR R package
Checks a dataset for obvious clangers
Converts parameters to x,y coordinates (date and pdf) that describe a ...
Converts CPL parameters (0 to 1) into hinge (x,y) coordinates (date an...
Estimates the calendar date domain of a 14C dataset.
Calculates the log likelihood of a population model, given a calibrate...
Makes a calibration curve probability array
Makes a MCMC chain using the Metropolis-Hastings algorithm.
Objective function to be minimised in a search. Returns the negative l...
Generates an SPD for each phase in a dataset
Plots a calibration curve probability array
Plots a calibrated PD of a single date, or SPD of multiple dates, or m...
Plots a summary of the SPD simulation test
Calculates the relative growth (or decline) rate per generation.
Converts calendar dates to 14C dates
PDF of a truncated sinusoidal curve
Goodness of Fit test, using SPD simulation
Generates a summed probability distribution (SPD) of calibrated dates
Quick calibration of dates, without the need to choose a date range or...
Generates a summed probability distribution (SPD) after phasing dates
Converts calendar dates to 14C dates
Provides tools to directly model underlying population dynamics using date datasets (radiocarbon and other) with a Continuous Piecewise Linear (CPL) model framework. Various other model types included. Taphonomic loss included optionally as a power function. Model comparison framework using BIC. Package also calibrates 14C samples, generates Summed Probability Distributions (SPD), and performs SPD simulation analysis to generate a Goodness-of-fit test for the best selected model. Details about the method can be found in Timpson A., Barberena R., Thomas M. G., Mendez C., Manning K. (2020) <doi:10.1098/rstb.2019.0723>.