A point-and-click 'Shiny' interface to the 'biocharkit' package.
    Lets a user upload Excel workbooks of biochar characterisation and batch
    adsorption data, map spreadsheet columns to the required variables via
    dropdown menus, and run sample-ID parsing, adsorption capacity and
    removal efficiency calculations, isotherm fitting (Langmuir, Freundlich,
    Temkin, Dubinin-Radushkevich, Sips), kinetics fitting (pseudo-first/
    second-order, Elovich, intraparticle diffusion), van't Hoff
    thermodynamics, batch fitting across many samples at once, FTIR
    baseline correction, automatic peak picking and functional-group
    analysis, XRD peak deconvolution and crystallinity index, BET surface
    area, TGA analysis (DTG curve with auto-detected decomposition peaks,
    moisture/volatile-matter/ash/fixed-carbon straight off a curve for a
    single sample or in batch across many, and Kissinger non-isothermal
    kinetics from multi-heating-rate data), proximate/ultimate analysis,
    and correlation matrices, without writing any R code. Results and 600
    dpi TIFF figures can be downloaded directly from the browser, along
    with a combined analysis report.

Using numeric or raster data, this package contains functions to 
    calculate: complete water balance, bioclimatic balance, bioclimatic 
    intensities, reports for individual locations, multi-layered rasters for
    spatial analysis.

A convenient tool to install and update Bioconductor packages.

Tools to create, validate, and export BioCompute Objects
    described in King et al. (2019) <doi:10.17605/osf.io/h59uh>.
    Users can encode information in data frames, and compose
    BioCompute Objects from the domains defined by the standard.
    A checksum validator and a JSON schema validator are provided.
    This package also supports exporting BioCompute Objects as JSON,
    PDF, HTML, or 'Word' documents, and exporting to cloud-based platforms.

A cross-platform representation of models as sets of equations
    that facilitates modularity in model building and allows users to harness
    modern techniques for numerical integration and data visualization.
    Documentation is provided by several vignettes included in this package;
    also see Lochocki et al. (2022) <doi:10.1093/insilicoplants/diac003>.