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) 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).

Last 30 days

This package has been downloaded 567 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 20 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 8,394 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Nov 05, 2024 with 92 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.