Provides an R scripting interface to the open-source 'SAGA-GIS' 
    (System for Automated Geoscientific Analyses Geographical Information
    System) software. 'Rsagacmd' dynamically generates R functions for every
    'SAGA-GIS' geoprocessing tool based on the user's currently installed
    'SAGA-GIS' version. These functions are contained within an S3 object
    and are accessed as a named list of libraries and tools. This structure
    facilitates an easier scripting experience by organizing the large number
    of 'SAGA-GIS' geoprocessing tools (>700) by their respective library.
    Interactive scripting can fully take advantage of code autocompletion tools
    (e.g. in 'RStudio'), allowing for each tools syntax to be quickly
    recognized. Furthermore, the most common types of spatial data (via the
    'terra', 'sp', and 'sf' packages) along with non-spatial data are
    automatically passed from R to the 'SAGA-GIS' command line tool for
    geoprocessing operations, and the results are loaded as the appropriate R
    object. Outputs from individual 'SAGA-GIS' tools can also be chained using
    pipes from the 'magrittr' and 'dplyr' packages to combine complex
    geoprocessing operations together in a single statement. 'SAGA-GIS' is
    available under a GPLv2 / LGPLv2 licence from
    <https://sourceforge.net/projects/saga-gis/> including Windows x86/x64
    and macOS binaries. SAGA-GIS is also included in Debian/Ubuntu default software
    repositories. Rsagacmd has currently been tested on 'SAGA-GIS' versions
    from 2.3.1 to 9.5.1 on Windows, Linux and macOS.

A computational resource designed to accurately detect microbial
    nucleic acids while filtering out contaminants and false-positive taxonomic
    assignments from standard transcriptomic sequencing of mammalian tissues.
    For more details, see Ghaddar (2023) <doi:10.1038/s43588-023-00507-1>. This
    implementation leverages the 'polars' package for fast and systematic
    microbial signal recovery and denoising from host tissue genomic sequencing.