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glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models

A user-friendly 'shiny' application for Bayesian machine learning analysis of marine species distributions. GLOSSA (Global Species Spatiotemporal 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.

Version: 1.0.0
Depends: bs4Dash, R (≥ 4.0.0), shiny
Imports: dbarts, dplyr, DT, GeoThinneR, ggplot2, htmltools, jsonlite, leaflet, markdown, mcp, pROC, sf, shinyWidgets, sparkline, svglite, terra, tidyterra, waiter, zip
Suggests: knitr, matrixStats, rmarkdown, testthat (≥ 3.0.0), tidyr, tidyverse
Published: 2024-10-15
DOI: 10.32614/CRAN.package.glossa
Author: Jorge Mestre-Tomás ORCID iD [aut, cre], Alba Fuster-Alonso ORCID iD [aut]
Maintainer: Jorge Mestre-Tomás <jorge.mestre.tomas at csic.es>
BugReports: https://github.com/iMARES-group/glossa/issues
License: GPL-3
URL: https://github.com/iMARES-group/glossa, https://iMARES-group.github.io/glossa/
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: glossa results

Documentation:

Reference manual: glossa.pdf

Downloads:

Package source: glossa_1.0.0.tar.gz
Windows binaries: r-devel: glossa_1.0.0.zip, r-release: glossa_1.0.0.zip, r-oldrel: glossa_1.0.0.zip
macOS binaries: r-release (arm64): glossa_1.0.0.tgz, r-oldrel (arm64): glossa_1.0.0.tgz, r-release (x86_64): glossa_1.0.0.tgz, r-oldrel (x86_64): glossa_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=glossa to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.