guidedPLS
Supervised Dimensional Reduction by Guided Partial Least Squares
Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). For the details of the methods, see the reference section of GitHub README.md https://github.com/rikenbit/guidedPLS.
- Version1.0.0
- R version≥ 3.4.0
- LicenseMIT
- Needs compilation?No
- Last release05/12/2023
Documentation
Team
Koki Tsuyuzaki
Insights
Last 30 days
This package has been downloaded 167 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 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 2,230 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 23, 2024 with 23 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
- Imports1 package
- Suggests4 packages