Modelling Relative Sea Level Data
Cross validation check for spline in time, spline in space time and GA...
Pipe operator
Plot raw data with measurement uncertainty.
Plotting the results for each statistical model from the reslr_mcmc ...
Print a reslr output object which is created from the reslr_load fun...
Print a reslr output object which is created by the reslr_mcmc funct...
Loading in data for the reslr package
Run a reslr_input object through the main reslr Markov chain Monte C...
Produces summaries and convergence diagnostics for an object created w...
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.
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