Calculates parameters of the seawater carbonate system and assists in design of ocean acidification perturbation experiments.

The explosion of biobank data offers immediate opportunities for 
    gene-environment (GxE) interaction studies of complex diseases because of the 
    large sample sizes and rich collection in genetic and non-genetic information. 
    However, the extremely large sample size also introduces new computational 
    challenges in GxE assessment, especially for set-based GxE variance component (VC) 
    tests, a widely used strategy to boost overall GxE signals and to evaluate the 
    joint GxE effect of multiple variants from a biologically meaningful unit 
    (e.g., gene). 
    We present 'SEAGLE', a Scalable Exact AlGorithm for Large-scale Set-based 
    GxE tests, to permit GxE VC test scalable to biobank data. 'SEAGLE' employs modern 
    matrix computations to achieve the same “exact” results as the original GxE VC 
    tests, and does not impose additional assumptions nor relies on approximations. 
    'SEAGLE' can easily accommodate sample sizes in the order of 10^5, is implementable 
    on standard laptops, and does not require specialized equipment. 
    The accompanying manuscript for this package can be found at Chi, Ipsen, Hsiao, 
    Lin, Wang, Lee, Lu, and Tzeng. (2021+) <arXiv:2105.03228>.

Transformation of sea currents to connectivity data. Two files of
 horizontal and vertical currents flows are transformed into connectivity data
 in the form of 'sfnetwork', shapefile, edge list and adjacency matrix. An
 application example is shown at Nagkoulis et al. (2025)
 <doi:10.1016/j.dib.2024.111268>.

An R 'Shiny' application dedicated to the intra-site spatial analysis of piece-plotted archaeological remains, making the two and three-dimensional spatial exploration of archaeological data as user-friendly as possible.  Documentation about 'SEAHORS' is provided by the vignette included in this package and by the companion scientific paper: Royer, Discamps, Plutniak, Thomas (2023, PCI Archaeology, <doi:10.5281/zenodo.7674698>).