mvs
Methods for High-Dimensional Multi-View Learning
Methods for high-dimensional multi-view learning based on the multi-view stacking (MVS) framework. For technical details on the MVS and stacked penalized logistic regression (StaPLR) methods see Van Loon, Fokkema, Szabo, & De Rooij (2020) doi:10.1016/j.inffus.2020.03.007 and Van Loon et al. (2022) doi:10.3389/fnins.2022.830630.
- Version2.0.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- mvs citation info
- Last release08/29/2024
Documentation
Team
Wouter van Loon
Marjolein Fokkema
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Insights
Last 30 days
This package has been downloaded 181 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 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 2,149 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 Aug 31, 2024 with 37 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.
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Dependencies
- Depends1 package
- Imports1 package
- Suggests3 packages