Type: Package
Package: glossa
Title: User-Friendly 'shiny' App for Bayesian Species Distribution
        Models
Version: 1.2.0
Authors@R: c(
    person("Jorge", "Mestre-Tomás", , "jorge.mestre.tomas@csic.es", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8983-3417")),
    person("Alba", "Fuster-Alonso", role = "aut",
           comment = c(ORCID = "0000-0002-7283-291X"))
  )
Description: A user-friendly 'shiny' application for Bayesian machine
    learning analysis of marine species distributions. GLOSSA (Global
    Ocean Species Spatio-temporal Analysis) uses Bayesian Additive
    Regression Trees (BART; Chipman, George, and McCulloch (2010)
    <doi:10.1214/09-AOAS285>) to model species distributions with
    intuitive workflows for data upload, processing, model fitting, and
    result visualization. It supports presence-absence and presence-only
    data (with pseudo-absence generation), spatial thinning,
    cross-validation, and scenario-based projections. GLOSSA is designed
    to facilitate ecological research by providing easy-to-use tools for
    analyzing and visualizing marine species distributions across
    different spatial and temporal scales.
License: GPL-3
URL: https://github.com/iMARES-group/glossa,
        https://iMARES-group.github.io/glossa/
BugReports: https://github.com/iMARES-group/glossa/issues
Depends: bs4Dash, R (>= 4.1.0), shiny
Imports: blockCV, dbarts, dplyr, DT, GeoThinneR, ggplot2, htmltools,
        jsonlite, leaflet, markdown, mcp, pROC, sf, shinyWidgets,
        sparkline, svglite, terra, tidyterra, waiter, zip
Suggests: automap, knitr, matrixStats, rmarkdown, testthat (>= 3.0.0),
        tidyr, tidyverse
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-06-17 07:17:17 UTC; jorge
Author: Jorge Mestre-Tomás [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8983-3417>),
  Alba Fuster-Alonso [aut] (ORCID:
    <https://orcid.org/0000-0002-7283-291X>)
Maintainer: Jorge Mestre-Tomás <jorge.mestre.tomas@csic.es>
Repository: CRAN
Date/Publication: 2025-06-17 08:30:02 UTC
Built: R 4.6.0; ; 2025-06-18 23:51:47 UTC; windows
