This library provides a set of functions for the implementation of Monte Carlo based algorithms for the augmentation of both qualitative and quantitative data. This includes a series of Monte Carlo simulation functions, as well as an implementation of a Metropolis-Hastings variant of the Markov Chain Monte Carlo algorithm, with a series of functions for the evaluation of chains.
Author
Lloyd A. Courtenay
ORCID
https://orcid.org/0000-0002-4810-2001
Current Afiliations:
Universidad de Salamanca [USAL]
This code was designed and prepared for the study by: Courtenay, L.A.; Aramendi, J.; González-Aguilera, D. (Submitted) Recruiting a Skeleton Crew – Methods for Simulating and Augmenting Palaeoanthropological Data using Monte Carlo based Algorithms
TIDOP research group website: http://tidop.usal.es/
Dependencies:
- abind
Comments, questions, doubts, suggestions and corrections can all be directed to L. A. Courtenay at the email provided above.