ddsPLS
Data-Driven Sparse Partial Least Squares
A sparse Partial Least Squares implementation which uses soft-threshold estimation of the covariance matrices and therein introduces sparsity. Number of components and regularization coefficients are automatically set.
- Version1.2.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- ddsPLS citation info
- Last release01/30/2024
Documentation
Team
Hadrien Lorenzo
Insights
Last 30 days
This package has been downloaded 288 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 1 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 3,930 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 66 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
- Imports4 packages
- Suggests3 packages
- Linking To2 packages