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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

Documentation:

Reference manual: xLLiM.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=xLLiM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.