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) <https://hal.archives-ouvertes.fr/hal-01347455>) based on a mixture of Generalized Student distributions.
| Version: | 1.0 |
| Imports: | MASS, abind, corpcor, Matrix |
| Published: | 2016-12-05 |
| Author: | Emeline Perthame (emeline.perthame@inria.fr), Florence Forbes (florence.forbes@inria.fr), Antoine Deleforge (antoine.deleforge@inria.fr) |
| Maintainer: | Emeline Perthame <perthame.emeline at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | xLLiM results |
| Reference manual: | xLLiM.pdf |
| Package source: | xLLiM_1.0.tar.gz |
| Windows binaries: | r-devel: xLLiM_1.0.zip, r-release: xLLiM_1.0.zip, r-oldrel: xLLiM_1.0.zip |
| OS X Mavericks binaries: | r-release: xLLiM_1.0.tgz, r-oldrel: xLLiM_1.0.tgz |
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