Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

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dockerfiler — by Colin Fay, 10 months ago

Easy Dockerfile Creation from R

Build a Dockerfile straight from your R session. 'dockerfiler' allows you to create step by step a Dockerfile, and provide convenient tools to wrap R code inside this Dockerfile.

proustr — by Colin Fay, 14 days ago

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".

icesDatras — by Colin Millar, 2 years ago

DATRAS Trawl Database Web Services

R interface to access the web services of the ICES (International Council for the Exploration of the Sea) DATRAS trawl survey database < https://datras.ices.dk/WebServices/Webservices.aspx>.

icesSAG — by Colin Millar, 10 months ago

Stock Assessment Graphs Database Web Services

R interface to access the web services of the ICES Stock Assessment Graphs database < http://sg.ices.dk>.

neo4r — by Colin Fay, 3 days ago

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.

rgeoapi — by Colin FAY, 2 years ago

Get Information from the GeoAPI

Provides access to information from < https://api.gouv.fr/explorer/geoapi/> about French "Communes", "Departements" and "Regions".

tidystringdist — by Colin Fay, 3 months ago

String Distance Calculation with Tidy Data Principles

Calculation of string distance following the tidy data principles. Built on top of the 'stringdist' package.

bitrugs — by Colin Worby, 3 years ago

Bayesian Inference of Transmission Routes Using Genome Sequences

MCMC methods to estimate transmission dynamics and infection routes in hospitals using genomic sampling data.

gambin — by Thomas Matthews, 7 months ago

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.

r4lineups — by Colin Tredoux, 7 months ago

Statistical Inference on Lineup Fairness

Since the early 1970s eyewitness testimony researchers have recognised the importance of estimating properties such as lineup bias (is the lineup biased against the suspect, leading to a rate of choosing higher than one would expect by chance?), and lineup size (how many reasonable choices are in fact available to the witness? A lineup is supposed to consist of a suspect and a number of additional members, or foils, whom a poor-quality witness might mistake for the perpetrator). Lineup measures are descriptive, in the first instance, but since the earliest articles in the literature researchers have recognised the importance of reasoning inferentially about them. This package contains functions to compute various properties of laboratory or police lineups, and is intended for use by researchers in forensic psychology and/or eyewitness testimony research. Among others, the r4lineups package includes functions for calculating lineup proportion, functional size, various estimates of effective size, diagnosticity ratio, homogeneity of the diagnosticity ratio, ROC curves for confidence x accuracy data and the degree of similarity of faces in a lineup.