Package: reslr
Title: Modelling Relative Sea Level Data
Version: 0.1.1
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) <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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
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
NeedsCompilation: no
Packaged: 2023-06-14 21:35:25 UTC; mupton
Author: Maeve Upton [cph, aut, cre] (<https://orcid.org/0000-0002-3185-7731>),
  Andrew Parnell [aut],
  Niamh Cahill [aut]
Maintainer: Maeve Upton <uptonmaeve010@gmail.com>
Repository: CRAN
Date/Publication: 2023-06-15 17:20:02 UTC
Built: R 4.6.0; ; 2026-04-10 03:43:43 UTC; windows
