Visualizations for SHAP (SHapley Additive exPlanations), such
    as waterfall plots, force plots, various types of importance plots,
    dependence plots, and interaction plots.  These plots act on a
    'shapviz' object created from a matrix of SHAP values and a
    corresponding feature dataset. Wrappers for the R packages 'xgboost',
    'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and
    'kernelshap' are added for convenience.  By separating visualization
    and computation, it is possible to display factor variables in graphs,
    even if the SHAP values are calculated by a model that requires
    numerical features. The plots are inspired by those provided by the
    'shap' package in Python, but there is no dependency on it.

Analyse species-habitat associations in R. Therefore, information about the location 
  of the species (as a point pattern) is needed together with environmental conditions 
  (as a categorical raster). To test for significance habitat associations, one of 
  the two components is randomized. Methods are mainly based on Plotkin et al. (2000) 
  <doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.

Provides a parallel execution runtime for R that emphasizes
    deterministic memory behavior and efficient handling of large shared inputs.
    'shard' enables zero-copy parallel reads via shared/memory-mapped segments,
    encourages explicit output buffers to avoid large result aggregation, and
    supervises worker processes to mitigate memory drift via controlled recycling.
    Diagnostics report peak memory usage, end-of-run memory return, and hidden
    copy/materialization events to support reproducible performance benchmarking.

Provides functions to retrieve, process, analyze, and
    quality-control marine physical, chemical, and biological data. The
    main focus is on Swedish monitoring data available through the 'SHARK'
    database <https://shark.smhi.se/en/>, with additional API support for 'Nordic
    Microalgae' <https://nordicmicroalgae.org/>, 'Dyntaxa'
    <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>,
    'AlgaeBase' <https://www.algaebase.org>, OBIS 'xylookup' web service 
    <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - 
    UNESCO databases on harmful algae  <https://www.marinespecies.org/hab/> and toxins
    <https://toxins.hais.ioc-unesco.org/>.