Connect, execute, and parse results from the Daisi Microservice Platform <https://www.daisi.io/>. The rdaisi client
  includes a set of functionality that allows remote execution of microservices directly from R.
  Daisis allow R users to access a wide variety of Python functionality and interact with them natively.

Client for the web service methods provided by 'DataCite'
    (<https://www.datacite.org/>), including functions to interface with
    their 'RESTful' search API. The API is backed by 'Elasticsearch',
    allowing expressive queries, including faceting.

R implementation of the 'FAIR Data Pipeline API'. The 'FAIR Data 
    Pipeline' is intended to enable tracking of provenance of FAIR (findable, 
    accessible and interoperable) data used in epidemiological modelling.

Provides an R interface to the Data Retriever
    <https://retriever.readthedocs.io/en/latest/> via the Data Retriever's
    command line interface. The Data Retriever automates the
    tasks of finding, downloading, and cleaning public datasets,
    and then stores them in a local database.

R access to hundreds of millions data series from DBnomics API
    (<https://db.nomics.world/>).

Provides the tools to undertake estimation in
    Regression Discontinuity Designs. Both sharp and fuzzy designs are
    supported. Estimation is accomplished using local linear regression.
    A provided function will utilize Imbens-Kalyanaraman optimal
    bandwidth calculation. A function is also included to test the
    assumption of no-sorting effects.

Estimation of both single- and multiple-assignment Regression Discontinuity Designs 
    (RDDs). Provides both parametric (global) and non-parametric (local) estimation choices for
    both sharp and fuzzy designs, along with power analysis and assumption checks. 
    Introductions to the underlying logic and analysis of RDDs are in 
    Thistlethwaite, D. L., Campbell, D. T. (1960) <doi:10.1037/h0044319> and
    Lee, D. S., Lemieux, T. (2010) <doi:10.1257/jel.48.2.281>.