Package: xLLiM 2.3

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

Authors:Emeline Perthame, Florence Forbes, Antoine Deleforge, Emilie Devijver, Melina Gallopin

xLLiM_2.3.tar.gz
xLLiM_2.3.zip(r-4.5)xLLiM_2.3.zip(r-4.4)xLLiM_2.3.zip(r-4.3)
xLLiM_2.3.tgz(r-4.4-any)xLLiM_2.3.tgz(r-4.3-any)
xLLiM_2.3.tar.gz(r-4.5-noble)xLLiM_2.3.tar.gz(r-4.4-noble)
xLLiM_2.3.tgz(r-4.4-emscripten)xLLiM_2.3.tgz(r-4.3-emscripten)
xLLiM.pdf |xLLiM.html✨
xLLiM/json (API)

Peer review:

Bug tracker:https://github.com/epertham/xllim/issues

On CRAN:

7 exports 1 stars 1.05 score 73 dependencies 21 scripts 580 downloads

Last updated 11 months agofrom:dba703acda. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:bllimemgmgllimgllim_inverse_mappreprocess_datasllimsllim_inverse_map

Dependencies:abindBHBiocParallelcapusheclassclicodetoolscolorspacecorpcorcpp11crayondplyre1071ellipsefansifarverforeachformatRfutile.loggerfutile.optionsgenericsggplot2ggrepelglmnetgluegridExtragtablehmsigraphisobanditeratorslabelinglambda.rlatticelifecyclemagrittrMASSMatrixmatrixStatsmdamgcvmixOmicsmunsellnlmepillarpkgconfigplyrprettyunitsprogressproxypurrrR6randomForestrARPACKRColorBrewerRcppRcppEigenreshape2rlangRSpectrascalesshapesnowstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr