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: 2023-10-27 09:22:51 UTC; epertham
Repository: CRAN
Date/Publication: 2023-10-27 10:10:02 UTC
Built: R 4.4.0; ; 2024-05-05 19:52:49 UTC; unix
