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Applied Statistical Hypothesis Tests
Gives some hypothesis test functions (sign test, median and other quantile tests, Wilcoxon signed rank test, coefficient of variation test, test of normal variance, test on weighted sums of Poisson [see Fay and Kim
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.
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/>.
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.
Exact or Asymptotic Permutation Tests
Perform Exact or Asymptotic permutation tests [see Fay and Shaw
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".
Epidemiology Tools
Tools for training and practicing epidemiologists including methods for two-way and multi-way contingency tables.
Functions to Interact with the ICES Data Submission Utility (DATSU)
Functions to Interact with the ICES Data Submission Utility (DATSU) < https://datsu.ices.dk/web/index.aspx>.
Data Structures, Summaries, and Visualisations for Missing Data
Missing values are ubiquitous in data and need to be explored and
handled in the initial stages of analysis. 'naniar' provides data
structures and functions that facilitate the plotting of missing values and
examination of imputations. This allows missing data dependencies to be
explored with minimal deviation from the common work patterns of 'ggplot2'
and tidy data. The work is fully discussed at Tierney & Cook (2023)