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reslr  

Modelling Relative Sea Level Data
View on CRAN: Click here


Download and install reslr package within the R console
Install from CRAN:
install.packages("reslr")

Install from Github:
library("remotes")
install_github("cran/reslr")

Install by package version:
library("remotes")
install_version("reslr", "0.1.1")



Attach the package and use:
library("reslr")
Maintained by
Maeve Upton
[Scholar Profile | Author Map]
First Published: 2023-06-15
Latest Update: 2023-06-15
Description:
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) , change point models (Cahill et al 2015) , integrated Gaussian process models (Cahill et al 2015) , 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.
How to cite:
Maeve Upton (2023). reslr: Modelling Relative Sea Level Data. R package version 0.1.1, https://cran.r-project.org/web/packages/reslr. Accessed 16 Apr. 2025.
Previous versions and publish date:
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Complete documentation for reslr
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