i

I spread most of my code as R packages, with underlying routines in C/C/++ relying on the great Rcpp package and the outstanding armadillo library.

### References

1. Tabouy T, Barbillon P, Chiquet J: missSBM: handling missing data in the Stochastic Bloc Model, 2018
2. Chiquet J, Mariadassou M, Robin S: PLNmodels: Poisson lognormal models, 2017
3. Chiquet J, Dervieux V, Rigaill G: aricode: a package for efficient computations of standard clustering comparison measures, 2017
4. Perrot M, Levy-Leduc C, Chiquet J: MultiVarSel: Variable Selection in the Multivariate Linear Model, 2017
5. Brault V, Chiquet J: blockseg: two Dimensional Change-Points Detection, 2016

Segments a matrix in blocks with constant values. The underlying algorithm is a Lars-type algorithm where all the matrix operation can be computed explicitly.

6. Bouveyron C, Chiquet J, Latouche P, Mattei P-A: spinyReg: Sparse Generative Model and Its EM Algorithm, 2015

Implements a generative model that uses a spike-and-slab like prior distribution obtained by multiplying a deterministic binary vector. Such a model allows an EM algorithm, optimizing a type-II log-likelihood.

7. Chiquet J: SPRING: Structured selection of Primordial Relationships IN the General linear model, 2014

This package fits multivariate regression models using sparse conditional Gaussian graphical modeling with Laplacian regularization.

8. Gutierrez P, Rigaill G, Chiquet J: Fused-Anova, 2013

This package adjusts a penalized ANOVA model with Fusion penalities, i.e. a sum of weighted l1-norm on the difference of each coefficient. The fitting procedure is accompanied by a highly efficient cross-validation method.