Computation of adherence to medications from Electronic Health care 
    Data and visualization of individual medication histories and adherence 
    patterns. The package implements a set of S3 classes and
    functions consistent with current adherence guidelines and definitions. 
    It allows the computation of different measures of
    adherence (as defined in the literature, but also several original ones), 
    their publication-quality plotting,
    the estimation of event duration and time to initiation,
    the interactive exploration of patient medication history and 
    the real-time estimation of adherence given various parameter settings.
    It scales from very small datasets stored in flat CSV files to very large 
    databases and from single-thread processing on mid-range consumer
    laptops to parallel processing on large heterogeneous computing clusters.
    It exposes a standardized interface allowing it to be used from other
    programming languages and platforms, such as Python.

Interactive graphical user interface (GUI) for the package 
    'AdhereR', allowing the user to access different data sources, to explore 
    the patterns of medication use therein, and the computation of various  
    measures of adherence. It is implemented using Shiny and HTML/CSS/JavaScript.

Implements tools for manipulation of digital
             		images and the Propagation Separation approach
             		by Polzehl and Spokoiny (2006) <DOI:10.1007/s00440-005-0464-1>
                        for smoothing digital images, see Polzehl and Tabelow (2007)
                        <DOI:10.18637/jss.v019.i01>.

The Langmuir and Freundlich adsorption isotherms are pivotal in characterizing adsorption processes, essential across various scientific disciplines. Proper interpretation of adsorption isotherms involves robust fitting of data to the models, accurate estimation of parameters, and efficiency evaluation of the models, both in linear and non-linear forms. For researchers and practitioners in the fields of chemistry, environmental science, soil science, and engineering, a comprehensive package that satisfies all these requirements would be ideal for accurate and efficient analysis of adsorption data, precise model selection and validation for rigorous scientific inquiry and real-world applications. Details can be found in Langmuir (1918) <doi:10.1021/ja02242a004> and Giles (1973) <doi:10.1111/j.1478-4408.1973.tb03158.x>.