xLLiM: High Dimensional Locally-Linear Mapping

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) <doi:10.48550/arXiv.1701.07899>) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).

Version: 2.3
Imports: MASS, abind, corpcor, Matrix, igraph, capushe, glmnet, randomForest, e1071, mda, progress, mixOmics
Suggests: shock
Published: 2023-10-27
DOI: 10.32614/CRAN.package.xLLiM
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 at pasteur.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: xLLiM results


Reference manual: xLLiM.pdf


Package source: xLLiM_2.3.tar.gz
Windows binaries: r-devel: xLLiM_2.3.zip, r-release: xLLiM_2.3.zip, r-oldrel: xLLiM_2.3.zip
macOS binaries: r-release (arm64): xLLiM_2.3.tgz, r-oldrel (arm64): xLLiM_2.3.tgz, r-release (x86_64): xLLiM_2.3.tgz, r-oldrel (x86_64): xLLiM_2.3.tgz
Old sources: xLLiM archive

Reverse dependencies:

Reverse suggests: Infusion


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