projpred

Performs projection predictive feature selection for generalized linear models (Piironen, Paasiniemi, and Vehtari, 2020, doi:10.1214/20-EJS1711) with or without multilevel or additive terms (Catalina, Bürkner, and Vehtari, 2022, https://proceedings.mlr.press/v151/catalina22a.html), for some ordinal and nominal regression models (Weber, Glass, and Vehtari, 2023, doi:10.48550/arXiv.2301.01660), and for many other regression models (using the latent projection by Catalina, Bürkner, and Vehtari, 2021, doi:10.48550/arXiv.2109.04702, which can also be applied to most of the former models). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the vignettes and the documentation for more information and examples.

Last 30 days

This package has been downloaded 1,825 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 94 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 22,308 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 Apr 25, 2024 with 169 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.