Provides an interface to connect R with the <https://github.com/IDEMSInternational/open-app-builder> 'OpenAppBuilder' platform, enabling users to retrieve and work with user and notification data for analysis and processing. It is designed for developers and analysts to seamlessly integrate data from 'OpenAppBuilder' into R workflows via a 'Postgres' database connection, allowing direct querying and import of app data into R.

Creates a client with queries for the UK 'Open Banking' ('Open Data') API.

Data used in compiling the Handbook of UK Urban
  Tree Allometric Equations and Size Characteristics (Fennel 2024). The data 
  include measurements of height, crown radius and diameter at breast height (DBH)
  for UK urban trees. For more details see Fennell (2024) Handbook of UK
  Urban Tree Allometric Equations and Size Characteristics (Version 1.4). 
  <doi:10.13140/RG.2.2.28745.04961>.

Interface to make HTTP requests to 'OpenBlender' API services. Go to <https://openblender.io> for more information.

Geocode with the OpenCage API, either from place name to longitude 
    and latitude (forward geocoding) or from longitude and latitude to the name 
    and address of a location (reverse geocoding), see 
    <https://opencagedata.com/>.

DNA methylation is an important epigenetic process that regulates gene activity through chemical modifications of DNA without changing its sequence. 'OpEnCAST' is a plant-specific  ensemble-based prediction package that identifies 4mC, 5mC and 6mA methylation sites directly from DNA sequences. It combines multiple machine learning algorithms trained on monocot (Oryza sp.) and dicot (Arabidopsis sp.) reference models to deliver accurate predictions. This methodology is being inspired by the ensemble algorithm for methylation prediction developed by Wang et al. (2022) <doi:10.1186/s12859-022-04756-1>.

This package provides an interface to OpenCL, allowing R to leverage computing power of GPUs and other HPC accelerator devices.

A system for embedded scientific computing and reproducible research with R.
    The OpenCPU server exposes a simple but powerful HTTP api for RPC and data interchange
    with R. This provides a reliable and scalable foundation for statistical services or 
    building R web applications. The OpenCPU server runs either as a single-user development
    server within the interactive R session, or as a multi-user Linux stack based on Apache2. 
    The entire system is fully open source and permissively licensed. The OpenCPU website
    has detailed documentation and example apps.