enpls
Ensemble Partial Least Squares Regression
An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
- Version6.1
- R versionunknown
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?No
- Last release05/18/2019
Documentation
Team
Nan Xiao
Dong-Sheng Cao
Show author detailsRolesAuthorMiao-Zhu Li
Show author detailsRolesAuthorQing-Song Xu
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 305 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 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 3,478 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 24, 2024 with 45 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
- Imports7 packages
- Suggests2 packages