Package: xLLiM
Type: Package
Title: High Dimensional Locally-Linear Mapping
Version: 2.3.1
Authors@R: c(person(given = "Emeline",
                      family = "Perthame",
                      role = c("aut", "cre"),
                      email = "emeline.perthame@pasteur.fr",
                      comment = "emeline.perthame@inria.fr"),
               person(given = "Florence",
                      family = "Forbes",
                      role = "aut",
                      comment = "florence.forbes@inria.fr"),
               person(given = "Antoine",
                      family = "Deleforge",
                      role = "aut",
                      comment = "antoine.deleforge@inria.fr"),
               person(given = "Emilie",
                      family = "Devijver",
                      role = "aut",
                      comment = "emilie.devijver@univ-grenoble-alpes.fr"),
               person(given = "Melina",
                      family = "Gallopin",
                      role = "aut",
                      comment = "melina.gallopin@u-psud.fr"))
Maintainer: Emeline Perthame <emeline.perthame@pasteur.fr>
Description: Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) <DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) <DOI:10.1016/j.jmva.2017.09.009>) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Blein--Nicolas et al (2024) <DOI:10.1093/jrsssc/qlae012>) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).
License: GPL (>= 2)
Depends:
Imports:
        MASS,abind,corpcor,Matrix,igraph,capushe,glmnet,randomForest,e1071,mda,progress,mixOmics
biocViews: mixOmics
NeedsCompilation: no
Packaged: 2026-03-02 14:33:32 UTC; epertham
Author: Emeline Perthame [aut, cre] (emeline.perthame@inria.fr),
  Florence Forbes [aut] (florence.forbes@inria.fr),
  Antoine Deleforge [aut] (antoine.deleforge@inria.fr),
  Emilie Devijver [aut] (emilie.devijver@univ-grenoble-alpes.fr),
  Melina Gallopin [aut] (melina.gallopin@u-psud.fr)
Repository: CRAN
Date/Publication: 2026-03-02 19:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 11:06:32 UTC; unix
