  We present reslr, an R package to perform Bayesian modelling of relative sea
level data. We include a variety of different statistical models previously
proposed in the literature, with a unifying framework for loading data, fitting
models, and summarising the results. Relative sea-level data often contain
measurement error in multiple dimensions and so our package allows for these to
be included in the statistical models. When plotting the output sea level
curves, the focus is often on comparing rates of change, and so our package
allows for computation of the derivative of sea level curves with appropriate
consideration of the uncertainty. We provide a large example dataset from the
Atlantic coast of North America and show some of the results that might be
obtained from our package.
