DESCRIPTION

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
Roxygen: list(markdown = TRUE)
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