Calibrating Marine ^14^C Determinations with a $\Delta R$ | Calibrating a Single Marine ^14^C Sample | Non-parametric Calendar Age Summarisation from a Set of Marine ^14^C Samples | Worked Example - A Marine Mixture of Two Normals | Poisson process rate estimation from a set of marine ^14^C samples | Example - Uniform Phase Marine Data | Plotting the number of changepoints and their locations | References

Calibrating sets of ^14^C samples from mixed environments | Poisson process calibration | Example - Uniform Phase Mixed Data | Plotting the number of changepoints and their locations | Non-Parametric (DPMM) Summarisation - TBC | References

Introduction | Independent Calibration of Single ^14^C Samples | Implementing SH calibration | Implementing Marine calibration | Selecting the calendar age scale when plotting | Annotating the plots with text, lines and shading | References

Introduction | Dates-as-Data -- Frequency of samples as a proxy for activity | Strengths and Weaknesses of Dates-as-Data | Data Requirements | Additional Data and Information | Calibration Curve | Example Data | Package User Guide | References

Rigorous non-parametric summarisation of multiple ^14^C samples | Model details | Estimation of the shared underlying density | Running the sampler | Obtaining the Summarised Calendar Age Information | Summarised Calendar Age Density Estimate | Number of Clusters | Posterior Calendar Age Estimates of Individual Samples | Changing the calendar age plotting scale | Annotating the summary density plots with text, lines and shading | When not to use this Bayesian non-parametric method | References

Introduction | Modelling Ideas | An Inhomogeneous Poisson process | Final Radiocarbon Model | A Worked Example - Two Changepoints in a Uniform Phase Model | Calculating and plotting the posterior estimate of the occurrence rate | Plotting the estimated number of changepoints | Plotting estimates of changepoint locations | Plotting estimates of occurrence rate | Plotting the posterior calendar age estimates of individual samples | Changing the calendar age plotting scale | Calculating the posterior estimate of the occurrence rate on a bespoke grid | Annotating the various summary plots with text, lines and shading | Additional Plotting Features | Calculating and plotting the posterior estimate of the occurrence rate over time conditioned on a specific number of changes | Plotting individual posterior MCMC realistions of the occurrence rate | References

Summed Probability Distributions | The Problems with using SPDs | Illustration of why not to use SPDs | Fitting to a mixture of two normal distributions | An improvement using our library approaches | References

Introduction | Examining the Gelman-Rubin convergence diagnostic | Examining the predictive distribution or posterior occurrence rate | Visually comparing multiple runs | Examining the Kullback--Leibler divergence (Bayesian non-parametrics only) | References