reslr

The Bayesian modelling of relative sea-level data using a comprehensive approach that incorporates various statistical models within a unifying framework. Details regarding each statistical models; linear regression (Ashe et al 2019) doi:10.1016/j.quascirev.2018.10.032, change point models (Cahill et al 2015) doi:10.1088/1748-9326/10/8/084002, integrated Gaussian process models (Cahill et al 2015) doi:10.1214/15-AOAS824, temporal splines (Upton et al 2023) , spatio-temporal splines (Upton et al 2023) and generalised additive models (Upton et al 2023) . This package facilitates data loading, model fitting and result summarisation. Notably, it accommodates the inherent measurement errors found in relative sea-level data across multiple dimensions, allowing for their inclusion in the statistical models.