swMATH ID: 20081
Software Authors: Emeline Perthame, Florence Forbes, Antoine Deleforge, Emilie Devijver, Melina Gallopin
Description: R package xLLiM. 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) &lt;<a href=”http://dx.doi.org/10.1007/s11222-014-9461-5”>doi:10.1007/s11222-014-9461-5</a>&gt;) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) &lt;<a href=”https://hal.archives-ouvertes.fr/hal-01347455”>https://hal.archives-ouvertes.fr/hal-01347455</a>&gt;) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Devijver et al (2017) &lt;<a href=”https://arxiv.org/abs/1701.07899”>https://arxiv.org/abs/1701.07899</a>&gt;) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).
Homepage: https://cran.r-project.org/web/packages/xLLiM/index.html
Source Code:  https://github.com/cran/xLLiM
Dependencies: R
Keywords: CRAN; R package; High Dimensional Locally-Linear Mapping; GLLiM model; SLLiM; BLLiM; non linear mapping
Cited in: 0 Publications