Found 138 packages in 0.02 seconds
An Event-Based Mechanism for 'Shiny'
An event-Based framework for building 'Shiny' apps. Instead of relying on standard 'Shiny' reactive objects, this package allow to relying on a lighter set of triggers, so that reactive contexts can be invalidated with more control.
Access the 'languagelayer' API
Improve your text analysis with languagelayer < https://languagelayer.com>, a powerful language detection API.
Epidemiology Tools
Tools for training and practicing epidemiologists including methods for two-way and multi-way contingency tables.
Exact or Asymptotic Permutation Tests
Perform Exact or Asymptotic permutation tests [see Fay and Shaw
Key Derivation Functions for R Based on Scrypt
Functions for working with the scrypt key derivation functions
originally described by Colin Percival
< https://www.tarsnap.com/scrypt/scrypt.pdf> and in Percival and Josefsson
(2016)
Tools for Natural Language Processing in French
Tools for Natural Language Processing in French and texts from Marcel Proust's collection "A La Recherche Du Temps Perdu". The novels contained in this collection are "Du cote de chez Swann ", "A l'ombre des jeunes filles en fleurs","Le Cote de Guermantes", "Sodome et Gomorrhe I et II", "La Prisonniere", "Albertine disparue", and "Le Temps retrouve".
Crowd Sourced System Benchmarks
Benchmark your CPU and compare against other CPUs. Also provides functions for obtaining system specifications, such as RAM, CPU type, and R version.
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript library to render large data in the browser using 'WebGl'.
ICES Vocabularies Database Web Services
R interface to access the Vocabularies REST API of the ICES (International Council for the Exploration of the Sea) Vocabularies database < https://vocab.ices.dk/services/>.
A 'Neo4J' Driver
A Modern and Flexible 'Neo4J' Driver, allowing you to query data on a 'Neo4J' server and handle the results in R. It's modern in the sense it provides a driver that can be easily integrated in a data analysis workflow, especially by providing an API working smoothly with other data analysis and graph packages. It's flexible in the way it returns the results, by trying to stay as close as possible to the way 'Neo4J' returns data. That way, you have the control over the way you will compute the results. At the same time, the result is not too complex, so that the "heavy lifting" of data wrangling is not left to the user.