Provides functions to retrieve data and metadata from providers 
			 that disseminate data by means of SDMX web services. 
			 SDMX (Statistical Data and Metadata eXchange) is a standard that 
			 has been developed with the aim of simplifying the exchange of 
			 statistical information. 
			 More about the SDMX standard and the SDMX Web Services 
			 can be found at: <https://sdmx.org>.

Converts R object into JSON objects and vice-versa.

Functions to query (filter or transform), pivot (convert
    from array-of-objects to object-of-arrays, for easy import as 'R'
    data frame), search, patch (edit), and validate (against 'JSON Schema')
    'JSON' and 'NDJSON' strings, files, or URLs. Query and
    pivot support 'JSONpointer', 'JSONpath' or 'JMESpath'
    expressions. The implementation uses the 'jsoncons'
    <https://danielaparker.github.io/jsoncons/> header-only library;
    the library is easily linked to other packages for direct access
    to 'C++' functionality not implemented here.

Converts R objects to and from JavaScript Object Notation
  (JSON). The package provides a stable interface for reading JSON from
  strings, files, and connections, and for serializing common R objects,
  including vectors, lists, data frames, arrays, environments, and S4
  objects. It also exposes parser handlers, callbacks, and S4 methods for
  applications that need customized JSON processing while preserving
  established RJSONIO behavior.

Creates interactive graphs with 'R'. It joins the data analysis power of R and the visualization libraries of JavaScript in one package.

Handle 'JSON-stat' format (<https://json-stat.org>) in R.
    Not all features are supported, especially the extensive metadata
    features of 'JSON-stat'.

Create an 'R Journal' 'Rmarkdown' template article, that will
  generate html and pdf versions of your paper. Check that the paper folder 
  has all the required components needed for submission. 
  Examples of 'R Journal' publications can be found at 
  <https://journal.r-project.org>.