Software
I am an active member of the R software community and was elected to the R Foundation for Statistical Computing.
R Package Development
- FactoMineR: A widely used R package (4 500 download/day; > 8 million in total, paper cited > 10000 times) for multivariate data analysis and visualisation, providing a comprehensive set of tools for PCA, and dimensionality reduction methods for mixed data: Correspondence Analysis for contingency tables, Multiple Correspondence Analysis (MCA) for categorical data, Multiple Factor Analaysis (MFA) for multi-blocks/multi-view data etc. FactoMineR is primarily created and maintained by François Husson (Institut Agro Rennes Angers). [FactoMineR website] – [CRAN package] – [Youtube video] – [JSS paper] – [To ask questions ] – [MOOC] – [Lecture on MFA]
- missMDA: Imputation (matrix completion) for continuous/categorical data and PCA with missing values. Blog posts: Multiple imputations; Can we believe in the imputation?
[missMDA website] – [CRAN package] – [Youtube video] – [JSS paper] - denoiseR: Low-rank matrix estimation using regularized SVD (soft-thresholding, regularised SVD, iterative stable autoencoder) and bootstrap. [CRAN package] – [denoiseR paper]
- CaMeA An R package to do causal meta analysis on aggregated data to estimate Risk ratio, Odds ratio, etc on well-defined population (average population over the trials)
- misaem An R package for linear and logistic regression with missing values.
My students have also developed packages linked to our work:
- misaem A python library for logistic regression with missing values (author: Christophe Muller).
- mimi: Generalized low-rank models for mixed/incomplete data.
- lori: Contingency tables with missing values and covariates.
- AdaptiveConformal (R package) conformal prediction for time series – paper (author Herb Sussman)
For causal inference with missing values, see grf and pipelines comparing estimators (IPW, AIPW, etc.).
Software Projects
- R-miss-tastic: [paper] a platform to provide references, implementations, workflows of analyses on missing values
- Causal inference taskview: provides an overview of implementations of causal inference and causal discovery methods currently available on CRAN (The Comprehensive R Archive Network).
- Missing values taskview If you are interested in contributing or have feedback on these task views, please reach out to the task view maintainers.
ICUBAM Development
I contributed to ICUBAM, an open-source tool for real-time visualization of ICU bed availability. Launched during the COVID-19 crisis, it aids ICU teams in managing patient flows, anticipating bed needs, and organizing transfers. Deployed in 130 ICUs across 40 départements, ICUBAM supports over 2,000 beds. Slides, Models, Paper, GitHub.
Community Engagement
- Associate Editor, Journal of Statistical Software (2011–2017).
- Founding member of RForwards, promoting diversity in the R community.
- Member of the R Foundation Conference Committee; contributed to implementing the Code of Conduct.
- Co-founder of the « French R Board » supporting Les Rencontres R.
Help R by supporting with donation or through the R consortium.