mlt

Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) doi:10.1111/sjos.12291 and Hothorn (2020) doi:10.18637/jss.v092.i01. Shift-scale (Siegfried et al, 2023, doi:10.1080/00031305.2023.2203177) and multivariate (Klein et al, 2022, doi:10.1111/sjos.12501) transformation models are part of this package. A package vignette is available from doi:10.32614/CRAN.package.mlt.docreg and more convenient user interfaces to many models from doi:10.32614/CRAN.package.tram.

Last 30 days

This package has been downloaded 2,823 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 115 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 33,053 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Jan 30, 2025 with 322 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.