fastadi
Self-Tuning Data Adaptive Matrix Imputation
Implements the AdaptiveImpute matrix completion algorithm of 'Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion', https://amstat.tandfonline.com/doi/abs/10.1080/10618600.2018.1518238. AdaptiveImpute is useful for embedding sparsely observed matrices, often out performs competing matrix completion algorithms, and self-tunes its hyperparameter, making usage easy.
- Version0.1.1
- R version≥ 3.1
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release09/07/2022
Documentation
Team
Alex Hayes
MaintainerShow author detailsKarl Rohe
Show author detailsRolesAuthorJuhee Cho
Show author detailsRolesAuthorDonggyu Kim
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 182 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 10 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 3,002 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 21, 2024 with 142 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
- Depends2 packages
- Imports5 packages
- Suggests5 packages
- Linking To2 packages