Package: xLLiM
Type: Package
Title: High Dimensional Locally-Linear Mapping
Version: 2.3
Author: Emeline Perthame (emeline.perthame@inria.fr), Florence Forbes
        (florence.forbes@inria.fr), Antoine Deleforge
        (antoine.deleforge@inria.fr), Emilie Devijver
        (emilie.devijver@kuleuven.be), Melina Gallopin
        (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 Devijver et al (2017)
        <arXiv:1701.07899>) 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
Suggests: shock
biocViews: mixOmics
NeedsCompilation: no
Packaged: 2026-06-21 06:44:41 UTC; root
Config/pak/sysreqs: cmake libfreetype6-dev libglpk-dev libglu1-mesa-dev
        make texlive libicu-dev libpng-dev libuv1-dev libxml2-dev
        libgl1-mesa-dev zlib1g-dev
Repository: https://epertham.r-universe.dev
Date/Publication: 2023-10-27 08:42:50 UTC
RemoteUrl: https://github.com/epertham/xllim
RemoteRef: HEAD
RemoteSha: dba703acda2955c9462c0afab8b2b9e6ce45827f