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.

I am also coding a bit of Python to acces tools like Pytorch or Tensorflow.

The main entry point for my published code is my githubpage.

Dedicated pages

References

  1. Guinot F, Szafranski M, Chiquet J, Ambroise C: SIComORe: Selection of Interaction effects in COmpressed Multiple Omics REpresentation, 2020
    download
  2. Gutierrez P, Rigaill G, Chiquet J: Univariate hierarchical clustering at large scale, 2019
    download
  3. Hulot A, Chiquet J, Rigaill G: A package for fastly merging tree-like objects, 2019
    download
  4. Chiquet J, Mariadassou M, Robin S: PLNmodels: Poisson lognormal models, 2019
    download
  5. Tabouy T, Barbillon P, Chiquet J: missSBM: handling missing data in the Stochastic Bloc Model, 2019
    download
  6. Chiquet J: multivarnet: R package for inferring multi-variate/multi-attribute Gaussian graphical models, 2019
    download
  7. Chiquet J, Dervieux V, Rigaill G: aricode: a package for efficient computations of standard clustering comparison measures, 2018
    download
  8. Chiquet J: SPRING: Structured selection of Primordial Relationships IN the General linear model, 2017

    Sparse conditional Gaussian graphical modeling with Laplacian regularization.

    download
  9. Perrot M, Levy-Leduc C, Chiquet J: MultiVarSel: Variable Selection in the Multivariate Linear Model, 2017
    download
  10. 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.

    download
  11. 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.

    download
  12. Chiquet J: Quadrupen: Sparsity by Worst-Case Quadratic Penalties, 2012

    This package fits classical sparse regression models with efficient active set algorithms by solving quadratic problems.

    download
  13. Chiquet J: Scoop: Sparse Cooperative Regression, 2011

    Fits coop-Lasso, group-Lasso and tree-group Lasso variants for linear regression and logistic regression

    download web page
  14. Chiquet J, Grasseau G, Ambroise C, Charbonnier C: SIMoNe: Statistical Inference for MOdular NEtworks, 2010

    Implements the inference of co-regulated networks based on partial correlation coefficients from either steady-state or time-course transcriptomic data.

    download web page