print.reslr_input

In this function, the reslr input object is printed. This is a high-level summary which provides the number of observations and the number of sites utilised in the dataset.

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.

Maeve Upton

reslr

Modelling Relative Sea Level Data

Andrew Parnell

Niamh Cahill

print.reslr_input function

<dl><dt>x</dt>
<dd>An object of class <code>reslr_input</code></dd>
<dt>...</dt>
<dd>Other arguments (not supported)</dd></dl>

Arguments

Print a reslr output object which is created from the reslr_load function. — print.reslr_input

<dl>

<dt>x</dt>
<dd>An object of class <code>reslr_input</code></dd>


<dt>...</dt>
<dd>Other arguments (not supported)</dd>

</dl>

print.reslr_input: Print a reslr output object which is created from the `reslr_load` function.

Description

Usage

Value

Arguments

Examples