A simple package to grab a Bible proverb corresponding to the
    day of the month.

Inspects provenance collected by the 'rdt' or 'rdtLite' packages, 
    or other tools providing compatible PROV JSON output created by 
    the execution of a script, and find differences between two provenance 
    collections. Factors under examination included the hardware and 
    software used to execute the script, versions of attached libraries, 
    use of global variables, modified inputs and outputs, and changes 
    in main and sourced scripts. Based on detected changes, 'provExplainR' 
    can be used to study how these factors affect the behavior of 
    the script and generate a promising diagnosis of the causes of different 
    script results. More information about 'rdtLite' and associated tools is available 
    at <https://github.com/End-to-end-provenance/> and Barbara Lerner, 
    Emery Boose, and Luis Perez (2018), Using Introspection to Collect 
    Provenance in R, Informatics, <doi:10.3390/informatics5010012>.

Creates and manages a provenance graph corresponding to the 
    provenance created by the 'rdtLite' package, which
    collects provenance from R scripts.  'rdtLite' is available on CRAN.
    The provenance format is an extension of the 
    W3C PROV JSON format (<https://www.w3.org/Submission/2013/SUBM-prov-json-20130424/>).
    The extended JSON provenance format is described 
    in <https://github.com/End-to-end-provenance/ExtendedProvJson>.

R functions to access provenance information collected by 'rdt' or 
    'rdtLite'.  The information is stored inside a 'ProvInfo' object and can be 
    accessed through a collection of functions that will return the requested 
    data. The exact format of the JSON created by 'rdt' and 'rdtLite' is described 
    in <https://github.com/End-to-end-provenance/ExtendedProvJson>.

Reads the provenance collected by the 'rdtLite' or 'rdt' packages,
    or other tools providing compatible PROV JSON output, created by the
    execution of a script or a console session, and provides a human-readable
    summary identifying the input and output files, the scripts used (if any),
    errors and warnings produced, and the environment in which it was executed.
    It can also optionally package all the files into a zip file.  The exact
    format of the PROV JSON file created by 'rdtLite' and 'rdt' is described
    in <https://github.com/End-to-end-provenance/ExtendedProvJson>.  More
    information about 'rdtLite' and associated tools is available at
    <https://github.com/End-to-end-provenance/> and Lerner, Boose, and Perez
    (2018), Using Introspection to Collect Provenance in R, Informatics,
    <doi: 10.3390/informatics5010012>.