Package: reslr 0.1.1

reslr: Modelling Relative Sea Level Data

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) <arxiv:2301.09556>, spatio-temporal splines (Upton et al 2023) <arxiv:2301.09556> and generalised additive models (Upton et al 2023) <arxiv:2301.09556>. 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.

Authors:Maeve Upton [cph, aut, cre], Andrew Parnell [aut], Niamh Cahill [aut]