A collection of functions to compute frequently used metrics for 
             nutrition trials in aquaculture. Implementations include metrics 
             to calculate growth, feed conversion, nutrient use efficiency, 
             and feed digestibility. The package supports reproducible 
             workflows for summarising experimental results and reduces manual 
             calculation errors. For additional information see Machado e 
             Silva, Karthikeyan and Tellbüscher (2025) 
             <doi:10.13140/RG.2.2.27322.04808>.

Provides an automatic aggregation tool to manage point data privacy, 
    intended to be helpful for the production of official spatial data and for researchers.
    The package pursues the data accuracy at the smallest possible areas preventing 
    individual information disclosure. The methodology, based on hierarchical geographic 
    data structures performs aggregation and local suppression of point data to ensure privacy
    as described in Lagonigro, R., Oller, R., Martori J.C. (2017) <doi:10.2436/20.8080.02.55>.
    The data structures are created following the guidelines for grid datasets from the
    European Forum for Geography and Statistics.

Toolbox for the experimental aquatic chemist, focused on 
        acidification and CO2 air-water exchange. It contains all elements to
        model the pH, the related CO2 air-water exchange, and
        aquatic acid-base chemistry for an arbitrary marine,
        estuarine or freshwater system. It contains a suite of tools for 
        sensitivity analysis, visualisation, modelling of chemical batches, 
        and can be used to build dynamic models of aquatic systems. 
        As from version 1.0-4, it also contains functions to calculate 
        the buffer factors.

The functions proposed in this package allows to evaluate the process of measurement of the chemical components of water numerically or graphically. TSSS(), ICHS and datacheck() functions are useful to control the quality of measurements of chemical components of a sample of water. If one or more measurements include an error, the generated graph will indicate it with a position of the point that represents the sample outside the confidence interval. The function CI() allows to evaluate the possibility of contamination of a water sample after being obtained. Validation() is a function that allows to calculate the quality parameters of a technique for the measurement of a chemical component.