Package: eimpute 0.2.4
Zhe Gao
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.
Authors:
eimpute_0.2.4.tar.gz
eimpute_0.2.4.tar.gz(r-4.5-noble)eimpute_0.2.4.tar.gz(r-4.4-noble)
eimpute_0.2.4.tgz(r-4.4-emscripten)eimpute_0.2.4.tgz(r-4.3-emscripten)
eimpute.pdf |eimpute.html✨
eimpute/json (API)
NEWS
| # Install 'eimpute' in R: |
| install.packages('eimpute', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 months agofrom:e1a037a34a. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux-x86_64 | OK | Nov 20 2024 |
Exports:biscalebiscale.controleimputeincomplete.generatorr.search
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Data standardization | biscale |
| Control for standard procedure | biscale.control |
| Efficiently impute missing values for a large scale matrix | eimpute |
| Incomplete data generator | incomplete.generator |
| Search rank magnitude of the best approximating matrix | r.search |
