Access the 'languagelayer' API

Improve your text analysis with languagelayer < https://languagelayer.com>, a powerful language detection API.

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.

R Interface to the Pushbullet Messaging Service

An R interface to the Pushbullet messaging service which provides fast and efficient notifications (and file transfer) between computers, phones and tablets. An account has to be registered at the site < https://www.pushbullet.com> site to obtain a (free) API key.

Link to the ICES Vessel Monitoring System and Logbook Database Web Services

Links to the ICES Vessel Monitoring System (VMS) and logbook database web services < https://data.ices.dk/vms/webservices> to allow users to download summaries and data products.

Predict Fish Year-Class Strength from Survey Data

Predict fish year-class strength by calibration regression analysis of multiple recruitment index series.

Run Quality Checks on Data Prior to Submission to ICES

Run quality checks on data sets using the same checks that are conducted on the ICES Data Submission Utility (DATSU) < https://datsu.ices.dk>.

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".

Stock Database Web Services

R interface to access the web services of the ICES Stock Database < https://sd.ices.dk>.

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.

Fit the Gambin Model to Species Abundance Distributions

Fits unimodal and multimodal gambin distributions to species-abundance distributions from ecological data, as in in Matthews et al. (2014) . 'gambin' is short for 'gamma-binomial'. The main function is fit_abundances(), which estimates the 'alpha' parameter(s) of the gambin distribution using maximum likelihood. Functions are also provided to generate the gambin distribution and for calculating likelihood statistics.