Modal team - Inria Lille-Nord Europe

MixtComp

Model-based clustering package for mixed data

cfda

Categorical Functional Data Analysis

MLGL

Procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data

HDPenReg

Algorithms for lasso and fused-lasso problems: implementation of the lars algorithm for lasso and fusion penalization and EM-based algorithms for (logistic) lasso and fused-lasso penalization.

Kernalytics

Kernel methods for data analysis in a modular package.

Rankcluster

Implementation of a model-based clustering algorithm for ranking data (C. Biernacki, J. Jacques (2013) doi:10.1016/j.csda.2012.08.008 ).

cfda_shiny

Shiny interface of the cfda R package

CppNumericalSolvers

L-BFGS-B for TensorFlow or pure C++11 and other optimization methods

Funclustering

Model-based clustering algorithm for multivariate functional data

MixtComp-Docker

xperium

Demo of MODAL's researches for Xperium at Lille University