Simulates the results of completed randomized controlled
    trials, as if they had been conducted as adaptive Multi-Arm Bandit
    (MAB) trials instead. Augmented inverse probability weighted
    estimation (AIPW), outlined by Hadad et al. (2021)
    <doi:10.1073/pnas.2014602118>, is used to robustly estimate the
    probability of success for each treatment arm under the adaptive
    design. Provides customization options to simulate perfect/imperfect
    information, stationary/non-stationary bandits, blocked treatment
    assignments, along with control augmentation, and other hybrid
    strategies for assigning treatment arms. The methods used in
    simulation were inspired by Offer-Westort et al.  (2021)
    <doi:10.1111/ajps.12597>.

Imports 'WhatsApp' chat logs and parses them into
    a usable dataframe object. The parser works on chats exported 
    from Android or iOS phones and on Linux, macOS and Windows. The parser has  multiple options for extracting smileys and emojis
    from the messages, extracting URLs and domains from the messages, extracting names and types of sent 
    media files from the messages, extracting timestamps from messages, extracting and anonymizing author 
    names from messages. Can be used to create anonymized versions of data.

Use the 'what3words' API 
    <https://developer.what3words.com/public-api> to return three words which 
    uniquely identify every 3m x 3m square on Earth. It is also possible to 
    return coordinates from any valid three words location. Supports multiple 
    languages.

Builds complex plots, heatmaps in particular, using natural semantics. Bigger plots can be assembled using directives such as 'LeftOf', 'RightOf', 'TopOf', and 'Beneath' and more. Other features include clustering, dendrograms and integration with 'ggplot2' generated grid objects. This package is particularly designed for bioinformaticians to assemble complex plots for publication.

In Multidimensional Systems the When dimension allows us to
    express when the analysed facts have occurred. The purpose of this
    package is to provide support for implementing this dimension in the
    form of date and time tables for Relational On-Line Analytical Processing 
    star database systems.