Software – R

I am involved in the R software community and I  have been elected as a member of the R Foundation for Statistical Computing.

Development of packages:
FactoMineR: Exploratory Data Analyses  (PCA, Multiple Correspondence Analysis, Multi-tables/view data, etc.)
missMDA:  imputation (matrix completion) of continuous and categorical data, PCA with missing values, etc.
For questions on the use of packages we have a google group
denoiseR: low rank matrix estimation with regularized SVD and bootstrap

My students have also developed R packages associated to our  works: misaem: logistic regression with missing values, mimi: Generalized low-rank models for mixed and incomplete data frames, lori: contingency table with missing values and covariates, AdaptiveConformal for adaptive conformal prediction for times series, etc.

Development of R-miss-tastic, Causal Inference Taskview.  For causal inference with missing values, you can use the R package grf  and see the pipeline to compare different estimators (IPW, DR) strategies (imputations, etc.).

Development of ICUBAM (ICU Bed Allocation Monitor) open source project to visualize the availability of resuscitation beds. This started as a personal initiative from a rescusitator in the Grand-Est region who identify the need to to visualize available Covid + beds in real time (with a respirator). ICUBAM is an operational tool for rescuscitators in times of crisis to model patient flows, anticipate bed needs and welcome patients from submerged areas. ICUBAM was deployed in 130 ICU wards in 40 départements, and inventories more than 2,000 ICU. Slides application, Slides models, paper, github.

I  served as an associate editor of Journal of Statistical Software (2011-2017) and I was a founding member of  Rforwards to leading the R community forwards in widening the participation of women and other under-represented group. I am in the R foundation conference committee and have worked for implementation of Code of Conduct.
We also created the « French R board group » to support the organization of Les Rencontres R.

Video presentation of Rforwards. Blog posts and multivariate studies of the R community. Help R by supporting with donation or through the R consortium.