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) <doi:10.48550/arXiv.2301.09556>, spatio-temporal splines (Upton et al 2023) <doi:10.48550/arXiv.2301.09556> and generalised additive models (Upton et al 2023) <doi:10.48550/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.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | data.table,dplyr,fastDummies,fields,geosphere,ggplot2,magrittr,ncdf4,plyr,posterior,purrr,R2jags,stringr,tidybayes,tidyr |
| Suggests: | knitr,rmarkdown,testthat,vdiffr |
| Published: | 2023-06-15 |
| DOI: | 10.32614/CRAN.package.reslr |
| Author: | Maeve Upton [cph, aut, cre], Andrew Parnell [aut], Niamh Cahill [aut] |
| Maintainer: | Maeve Upton <uptonmaeve010 at gmail.com> |
| BugReports: | https://github.com/maeveupton/reslr/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/maeveupton/reslr,https://maeveupton.github.io/reslr/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | reslr results |
Documentation:
| Reference manual: | reslr.html ,reslr.pdf |
| Vignettes: | reslr: advanced (source,R code) reslr: quick start guide (source,R code) reslr: Statistical Models for examining Relative Sea Level Change in R (source,R code) |
Downloads:
| Package source: | reslr_0.1.1.tar.gz |
| Windows binaries: | r-devel:reslr_0.1.1.zip, r-release:reslr_0.1.1.zip, r-oldrel:reslr_0.1.1.zip |
| macOS binaries: | r-release (arm64):reslr_0.1.1.tgz, r-oldrel (arm64):reslr_0.1.1.tgz, r-release (x86_64):reslr_0.1.1.tgz, r-oldrel (x86_64):reslr_0.1.1.tgz |
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