eimpute
Efficiently Impute Large Scale Incomplete Matrix
Efficiently impute large scale matrix with missing values via its unbiased low-rank matrix approximation. Our main approach is Hard-Impute algorithm proposed in https://www.jmlr.org/papers/v11/mazumder10a.html, which achieves highly computational advantage by truncated singular-value decomposition.
- Version0.2.4
- R versionunknown
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- Last release07/22/2024
Documentation
Team
Zhe Gao
Jin Zhu
Show author detailsRolesAuthorYixuan Qiu
Show author detailsRolesCopyright holderXueqin Wang
Gael Guennebaud
Show author detailsRolesCopyright holder, ContributorJitse Niesen
Show author detailsRolesCopyright holder, ContributorJunxian Zhu
Show author detailsRolesAuthorRay Gardner
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 249 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 7 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 3,637 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 24, 2024 with 50 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
- Imports1 package
- Suggests1 package
- Linking To2 packages