Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as 
    proposed by Ruegamer et al. (2023) <doi:10.18637/jss.v105.i02>.
    Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.

Enhancing cross-language compatibility within the 'RStudio' environment and supporting seamless language understanding, 
    the 'deepRstudio' package leverages the power of the 'DeepL' API (see <https://www.deepl.com/docs-api>) to enable seamless, fast, 
    accurate, and affordable translation of code comments, documents, and text. This package offers the ability to translate selected text 
    into English (EN), as well as from English into various languages, namely Japanese (JA), Chinese (ZH), Spanish (ES), 
    French (FR), Russian (RU), Portuguese (PT), and Indonesian (ID). With much of the text being written in English, the emphasis 
    is on compatibility from English. It is also designed for developers working on multilingual projects and data analysts collaborating 
    with international teams, simplifying the translation process and making code more accessible and comprehensible to people with 
    diverse language backgrounds. This package uses the 'rstudioapi' package and 'DeepL' API, and is simply implemented, executed 
    from addins or via shortcuts on 'RStudio'. With just a few steps, content can be translated between supported languages, promoting better 
    collaboration and expanding the global reach of work. The functionality of this package works only on 'RStudio' using 'rstudioapi'.

Extends the functionality of other plotting packages like
    'ggplot2' and 'lattice' to help facilitate the plotting of data over long time
    intervals, including, but not limited to, geological, evolutionary, and ecological
    data. The primary goal of 'deeptime' is to enable users to add highly customizable
    timescales to their visualizations. Other functions are also included to assist
    with other areas of deep time visualization.