Introduction | Modelling Ideas | An Inhomogeneous Poisson process | Final Radiocarbon Model | Example | 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 | 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

Non-parametric calibration of multiple related ^14^C samples | Model details | Estimation of the shared underlying density | Running the sampler | Post-processing | Density Estimate to Summarise Objects | Posterior Calendar Age Estimates of Individual Samples | Number of Clusters | Changing the calendar age plotting scale | When not to use this Bayesian non-parametric method | 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

Summed Probability Distributions | Illustration of why not to use SPDs | Fitting to two Normals | An improvement using our library approaches | References

Introduction | Independent Calibration of Single ^14^C Samples | Implementing SH calibration | Selecting the calendar age scale when plotting | References

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