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.

翻译：我们介绍reslr这一R语言包，用于对相对海平面数据进行贝叶斯建模。该工具整合了文献中提出的多种不同统计模型，并提供了统一的数据加载、模型拟合与结果总结框架。相对海平面数据常包含多维测量误差，因此我们的软件包允许将这些误差纳入统计模型中。在绘制海平面曲线时，重点通常在于比较变化速率，因此本软件包支持计算海平面曲线的导数，并适当考虑不确定性。我们提供了一个来自北美大西洋沿岸的大型示例数据集，并展示了使用该软件包可能获得的部分结果。