Package: reslr Title: Modelling Relative Sea Level Data Version: 0.2.0 Authors@R: c( person("Maeve", "Upton", email= "uptonmaeve010@gmail.com", role = c("cph", "aut", "cre"), comment = c(ORCID = "0000-0002-3185-7731")), person("Andrew", "Parnell", role = "aut"), person("Niamh", "Cahill", role = "aut")) URL: https://github.com/maeveupton/reslr, https://maeveupton.github.io/reslr/ BugReports: https://github.com/maeveupton/reslr/issues Language: en-US 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 2025) , spatio-temporal splines (Upton et al 2025) and generalised additive models (Upton et al 2025) . 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. License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Depends: R (>= 2.10) LazyData: true Imports: data.table, dplyr, fastDummies, fields, geosphere, ggplot2, magrittr, ncdf4, plyr, posterior, purrr, R2jags, stringr, tidybayes, tidyr Suggests: knitr, rmarkdown, testthat, vdiffr VignetteBuilder: knitr Config/testthat/edition: 3 Config/pak/sysreqs: jags libicu-dev libnetcdf-dev Repository: https://maeveupton.r-universe.dev Date/Publication: 2026-05-26 10:00:48 UTC RemoteUrl: https://github.com/maeveupton/reslr RemoteRef: HEAD RemoteSha: 9e22beb382aa0cc45049dcdc3a0e743d7b1169d3 NeedsCompilation: no Packaged: 2026-05-26 14:59:11 UTC; root Author: Maeve Upton [cph, aut, cre] (ORCID: ), Andrew Parnell [aut], Niamh Cahill [aut] Maintainer: Maeve Upton