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).
- Version2.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release10/27/2023
Documentation
Team
Emeline Perthame
Melina Gallopin
Emilie Devijver
Florence Forbes
Antoine Deleforge
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- Imports11 packages
- Suggests1 package
- Reverse Suggests1 package