Perform Factorial Analysis from 'FactoMineR' with a Shiny Application

Perform factorial analysis with a menu and draw graphs interactively thanks to 'FactoMineR' and a Shiny application.

Coalescent-Based Simulation of Ecological Communities

Coalescent-Based Simulation of Ecological Communities as proposed by Munoz et al. (2018) . The package includes a tool for estimating parameters of community assembly by using Approximate Bayesian Computation.

Distributions that are Sometimes Used in Hydrology

Probability distributions that are sometimes useful in hydrology.

Data Only: Tools for Approximate Bayesian Computation (ABC)

Contains data which are used by functions of the 'abc' package.

Tools for Eurostat Open Data

Tools to download data from the Eurostat database < https://ec.europa.eu/eurostat> together with search and manipulation utilities.

Auto-Adaptive Parentage Inference Software Tolerant to Missing Parents

Parentage assignment package. Parentage assignment is performed based on observed average Mendelian transmission probability distributions or Exclusion. The main functions of this package are the function APIS_2n(), APIS_3n() and launch_APIShiny(), which perform parentage assignment.

Provides Progress Bars in 'knitr'

Provides a progress bar similar to 'dplyr' that can write progress out to a variety of locations, including stdout(), stderr(), or from file(). Useful when using 'knitr' or 'rmarkdown', and you still want to see progress of calculations in the terminal.

Calculation of the Integrated Flow of Particles Between Polygons

Calculate the flow of particles between polygons by two integration methods: integration by a cubature method and integration on a grid of points. Annie Bouvier, Kien Kieu, Kasia Adamczyk and Herve Monod (2009) .

A Lightweight Template for Data Analysis Projects

Creates useful files and folders for data analysis projects and provides functions to manage data, scripts and output files. Also provides a project template for 'Rstudio'.

Extensions of 'dplyr' and 'fuzzyjoin' Join Functions

We extend 'dplyr' and 'fuzzyjoin' join functions with features to preprocess the data, apply various data checks, and deal with conflicting columns.