README

CBJ 2017-03-24

These R scripts accompany the book
"Practical Bayesian Inference: A Primer for Physical Scientists"
by C.A.L. Bailer-Jones, 2017, published by Cambridge University Press.
The scripts are provided without warranty and are made available under a
Creative Commons Attribution 4.0 International License (CC-BY-4.0)
https://creativecommons.org/licenses/by/4.0/

The scripts are explained in the book and were developed using R Version 3.1.1.
The additional R libraries required to run them are (with the version number used in parentheses):
  fields (8.4-0)
  gplots (3.0.1) 
  KernSmooth (2.23-15)
  MASS (7.3-45)
  mvtnorm (1.0-5)
  RColorBrewer (1.1-2)
  splines (3.3-1)
as well as any dependencies these packages may have.

The following scripts found here are mentioned and used in the book, but are not listed in the book:
  linearmodel_outlier_posterior.R
  linearmodel_xyerr_functions.R
  linearmodel_xyerr_posterior.R
  parallax.R
  quadraticmodel_functions.R
  quadraticmodel_posterior.R