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reslr
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]
[Scholar Profile | Author Map]
All associated links for this package
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 21 Dec. 2024.
Previous versions and publish date:
No previous versions
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imports, suggests or enhances
Complete documentation for reslr
Functions, R codes and Examples using
the reslr R package
Some associated functions: NAACproxydata . cross_val_check . pipe . plot.reslr_input . plot.reslr_output . print.reslr_input . print.reslr_output . reslr_load . reslr_mcmc . summary.reslr_output .
Some associated R codes: cross_val_check.R . data.R . internal_functions.R . plot.reslr_input.R . plot.reslr_output.R . print.reslr_input.R . print.reslr_output.R . reslr_load.R . reslr_mcmc.R . summary.reslr_output.R . utils-pipe.R . Full reslr package functions and examples
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