Package: reslr 0.1.1

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.

Authors:Maeve Upton [cph, aut, cre], Andrew Parnell [aut], Niamh Cahill [aut]

reslr_0.1.1.tar.gz
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reslr.pdf |reslr.html✨
reslr/json (API)
NEWS

# Install 'reslr' in R:
install.packages('reslr', repos = c('https://maeveupton.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/maeveupton/reslr/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

4 exports 4 stars 1.26 score 65 dependencies 13 scripts 250 downloads

Last updated 7 months agofrom:9f5f59de34. Checks:OK: 5 ERROR: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winOKSep 11 2024
R-4.5-linuxOKSep 11 2024
R-4.4-winERRORSep 11 2024
R-4.4-macOKSep 11 2024
R-4.3-winERRORSep 11 2024
R-4.3-macOKSep 11 2024

Exports:%>%cross_val_checkreslr_loadreslr_mcmc

Dependencies:abindarrayhelpersbackportsbootcheckmateclicodacolorspacecpp11data.tabledistributionaldotCall64dplyrfansifarverfastDummiesfieldsgenericsgeosphereggdistggplot2gluegtableisobandlabelinglatticelifecyclemagrittrmapsMASSMatrixmatrixStatsmgcvmunsellncdf4nlmenumDerivpillarpkgconfigplyrposteriorpurrrquadprogR2jagsR2WinBUGSR6RColorBrewerRcpprjagsrlangscalesspspamstringistringrsvUnittensorAtibbletidybayestidyrtidyselectutf8vctrsviridisLitewithr

reslr: advanced

Maeve Upton, Andrew Parnell and Niamh Cahill

Rendered fromadvanced_reslr.Rmdusingknitr::rmarkdownon Sep 11 2024.

Last update: 2024-02-12
Started: 2023-05-11

reslr: quick start guide

Maeve Upton, Andrew Parnell and Niamh Cahill

Rendered fromquick_start.Rmdusingknitr::rmarkdownon Sep 11 2024.

Last update: 2023-06-13
Started: 2023-05-11

reslr: Statistical Models for examining Relative Sea Level Change in R

Maeve Upton, Andrew Parnell & Niamh Cahill

Rendered fromreslr.Rmdusingknitr::rmarkdownon Sep 11 2024.

Last update: 2024-02-13
Started: 2023-03-13