Fast processing of ArcGIS FeatureCollection protocol buffers in R.
  It is designed to work seamlessly with 'httr2' and integrates with 'sf'.

Functions to efficiently query 'ArcGIS REST' APIs 
  <https://developers.arcgis.com/rest/>. 
  Both spatial and SQL queries can be used to retrieve data. 
  Simple Feature (sf) objects are utilized to perform spatial queries. 
  This package was neither produced nor is maintained by Esri.

An interface to the 'ArcGIS' 'arcpy' and 'arcgis' 'python' API
    <https://pro.arcgis.com/en/pro-app/latest/arcpy/get-started/arcgis-api-for-python.htm>.
    Provides various tools for installing and configuring a 'Conda' environment
    for accessing 'ArcGIS' geoprocessing functions. Helper functions for
    manipulating and converting 'ArcGIS' objects from R are also provided.

Provides functions to process minute level actigraphy-measured activity counts data and extract commonly used physical activity volume and fragmentation metrics.

Autoregressive-based decomposition of a time series based on the approach in West (1997). Particular cases include the extraction of trend and seasonal components.

A set of functions to access the 'ARDECO' (Annual Regional Database
    of the European Commission) data directly from the official ARDECO public
    repository through the exploitation of the 'ARDECO' APIs.
    The APIs are completely transparent to the user and the provided functions
    provide a direct access to the 'ARDECO' data.
    The 'ARDECO' database is a collection of variables related to demography,
    employment, labour market, domestic product, capital formation.
    Each variable can be exposed in one or more units of measure as well as
    refers to total values plus economic sectors.
    The description of the 'ARDECO' database can be found at the following URL
    <https://urban.jrc.ec.europa.eu/ardeco>.

Creates complex autoregressive distributed lag (ARDL) models and 
    constructs the underlying unrestricted and restricted error correction 
    model (ECM) automatically, just by providing the order. It also performs
    the bounds-test for cointegration as described in Pesaran et al. (2001) 
    <doi:10.1002/jae.616> and provides the multipliers and the cointegrating
    equation. The validity and the accuracy of this package have been verified 
    by successfully replicating the results of Pesaran et al. (2001) in 
    Natsiopoulos and Tzeremes (2022) <doi:10.1002/jae.2919>.