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.