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I develop, contribute to, or maintain a few R packages related to various topics.

Data manipulation

  • polars: port of the Rust/Python polars to R.

  • tidypolars: get the power of polars with the syntax of the tidyverse.

  • datawizard: this package is part of the easystats ecosystem. It provides many functions to manipulate data (similarly to what dplyr and tidyr do) and to perform various statistical transformation on variables (standardizing, winsorizing, normalizing, etc.).

Package development & Tooling

  • altdoc: use docsify.js, docute, mkdocs, or quarto to build a website for your R package documentation. This is meant to be an alternative to {pkgdown}.
  • flint: very fast package to find lints and automatically fix them based on an extensible list of rules.
  • astgrepr: a package to parse and manipulate R code based on the ast-grep Rust crate. This is the foundation on which flint is built.

R Shiny applications


While developing packages for R Shiny applications, I had some trouble trying to determine if a Javascript library had already been adapted in R. Therefore, I started a list of R packages that adapt Javascript libraries: awesome-R-JS-adaptation. Feel free to propose missing libraries.

Etienne Bacher's Projects

flint icon flint

Find and Fix Lints in R Code

future icon future

:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone

getnews icon getnews

Get the News Items Concerning a Particular Function

ggstatsplot icon ggstatsplot

Enhancing `{ggplot2}` plots with statistical analysis 📊🎨📣

insight icon insight

:crystal_ball: Easy access to model information for various model objects

loc icon loc

R package to count lines of code in many programming languages

marginaleffects icon marginaleffects

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 80 classes of statistical models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.

modelbased icon modelbased

:chart_with_upwards_trend: Estimate effects, contrasts and means based on statistical models

patient icon patient

Loading Bars For Shiny Apps From Pace.js

plot2 icon plot2

Lightweight extension of base R's plot function

poorman icon poorman

A poor man's dependency free grammar of data manipulation

previewbw icon previewbw

Show what a plot will look like in black and white

prompter icon prompter

Add tooltips in Shiny apps with hint.css

r-source icon r-source

Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

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