bonsai
Model Wrappers for Tree-Based Models
Bindings for additional tree-based model engines for use with the 'parsnip' package. Models include gradient boosted decision trees with 'LightGBM' (Ke et al, 2017.), conditional inference trees and conditional random forests with 'partykit' (Hothorn and Zeileis, 2015. and Hothorn et al, 2006. doi:10.1198/106186006X133933), and accelerated oblique random forests with 'aorsf' (Jaeger et al, 2022 doi:10.5281/zenodo.7116854).
- Version0.3.1
- R version≥ 4.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release07/23/2024
Documentation
Team
Simon Couch
MaintainerShow author detailsMax Kuhn
Show author detailsRolesAuthorRoel M. Hogervorst
Show author detailsRolesAuthorDaniel Falbel
Show author detailsRolesAuthorAthos Damiani
Show author detailsRolesAuthorPosit Software, PBC
Insights
Last 30 days
This package has been downloaded 1,455 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 63 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 23,256 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 Jul 30, 2024 with 240 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.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports7 packages
- Suggests10 packages
- Reverse Suggests2 packages