WpProj
Linear p-Wasserstein Projections
Performs Wasserstein projections from the predictive distributions of any model into the space of predictive distributions of linear models. We utilize L1 penalties to also reduce the complexity of the model space. This package employs the methods as described in Dunipace, Eric and Lorenzo Trippa (2020) doi:10.48550/arXiv.2012.09999.
- Version0.2.3
- R versionR (≥ 4.0)
- LicenseGPL (== 3.0)
- Needs compilation?Yes
- Languageen-US
- Last release02/05/2025
Documentation
Team
Eric Dunipace
MaintainerShow author detailsJared Huling
Espen Bernton
Show author detailsRolesContributorPierre Jacob
Show author detailsRolesContributorMathieu Gerber
Show author detailsRolesContributorYixuan Qiu
Show author detailsRolesContributorBin Dai
Show author detailsRolesContributorDominic Schuhmacher
Show author detailsRolesContributorClemens Schmid
Nicolas Bonneel
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 146 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 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 1,713 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 75 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
- Imports17 packages
- Suggests8 packages
- Linking To6 packages