Amiga Disk Files (ADF) are virtual
    representations of 3.5 inch floppy disks for the
    Commodore Amiga. Most disk drives from other systems
    (including modern drives) are not able to read these
    disks. To be able to emulate this system, the ADF
    format was created. This package enables you to read
    ADF files and import and export files from and to such
    virtual DOS-formatted disks.

Collect  your data on digital marketing campaigns from Adform Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Anderson-Darling GoF test with p-value calculation based on Marsaglia's 2004 paper "Evaluating the Anderson-Darling Distribution"

A (mildly) opinionated set of functions to help assess medication adherence for researchers working with medication claims data.
    Medication adherence analyses have several complex steps that are often convoluted and can be time-intensive. The focus is to create a 
    set of functions using "tidy principles" geared towards transparency, speed, and flexibility while working with adherence metrics. All functions perform exactly one task 
    with an intuitive name so that a researcher can handle details (often achieved with vectorized solutions) while we handle non-vectorized tasks common to most 
    adherence calculations such as adjusting fill dates and determining episodes of care. The methodologies in referenced in this package come from
    Canfield SL, et al (2019) "Navigating the Wild West of Medication Adherence Reporting in Specialty Pharmacy" <doi:10.18553/jmcp.2019.25.10.1073>.

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.