Holds functions developed by the University of Ottawa's SAiVE
    (Spatio-temporal Analysis of isotope Variations in the Environment)
    research group with the intention of facilitating the re-use of code,
    foster good code writing practices, and to allow others to benefit
    from the work done by the SAiVE group. Contributions are welcome via
    the 'GitHub' repository <https://github.com/UO-SAiVE/SAiVE> by group members as well as non-members.

Surveys to collect employment data so as to obtain data estimates on the number of employed people, the number of unemployed, and other employment indicators.

Extends the functionality of R serialization by augmenting the
    built-in reference hook system. This enhanced implementation allows optimal,
    one-pass integrated serialization that combines R serialization with
    third-party serialization methods. Facilitates the serialization of even
    complex R objects, which contain non-system reference objects, such as those
    accessed via external pointers, for use in parallel and distributed
    computing.

Handles both vector and matrices, using a flexible S4 class for automatic differentiation.
  The method used is forward automatic differentiation. Many functions and methods have been defined, 
  so that in most cases, functions written without automatic differentiation in mind can be 
  used without change.

A coordinate descent algorithm for computing the solution paths of
    the sparse and coupled sparse asymmetric least squares, including the
    (adaptive) elastic net and Lasso penalized SALES and COSALES regressions.

Functions connecting to the 'Salesforce' Platform APIs (REST, SOAP, 
    Bulk 1.0, Bulk 2.0, Metadata, Reports and Dashboards) 
    <https://trailhead.salesforce.com/content/learn/modules/api_basics/api_basics_overview>. 
    "API" is an acronym for "application programming interface". Most all calls 
    from these APIs are supported as they use CSV, XML or JSON data that can be 
    parsed into R data structures. For more details please see the 'Salesforce' 
    API documentation and this package's website 
    <https://stevenmmortimer.github.io/salesforcer/> for more information, 
    documentation, and examples.