The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Tools to directly model underlying population dynamics using chronological datasets (radiocarbon and other) with a variety of models, including Continuous Piecewise Linear (CPL) model framework. Optional taphonomy. Model comparison framework using BIC. Package also calibrates 14C samples, and generates Summed Probability Distributions (SPD). CPL modelling directly estimates the most likely population trajectory given a dataset, using SPD simulation analysis to generate a Goodness-of-fit test for the best selected model.
Please contact a.timpson@ucl.ac.uk in the first instance to make suggestions, report bugs or request help.
Install from CRAN, then load
install.packages('ADMUR')
library('ADMUR')Refer to the vignette ‘guide’ for detailed support and examples.
vignette('guide', package = 'ADMUR')This package accompanies the following paper:
Timpson A., Barberena R., Thomas M. G., Mendez C., Manning K. 2020. “Directly modelling population dynamics in the South American Arid Diagonal using 14C dates”,Philosophical Transactions B. https://doi.org/10.1098/rstb.2019.0723.
Citations available as follows:
citation(package='ADMUR')ADMUR was written in collaboration with: - University College London - Department of Genetics, Evolution and Environment - Molecular and Cultural Evolution Laboratory - UCL Research Software Development - Max Planck Institute for the Science of Human History - Department of Archaeology - Pan African Evolution ResearchGroup
Special thanks to Yoan Diekmann for his influential inferential input.
Also thanks to the following who have reported bugs, requested additional functionality, offered constructive criticism, or provided other advice: - Gregor Seyer - Uwe Ligges - Prof Brian Ripley - Enrico Crema - Ricardo Fernandes
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.