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eimpute  

Efficiently Impute Large Scale Incomplete Matrix
View on CRAN: Click here


Download and install eimpute package within the R console
Install from CRAN:
install.packages("eimpute")

Install from Github:
library("remotes")
install_github("cran/eimpute")

Install by package version:
library("remotes")
install_version("eimpute", "0.2.4")



Attach the package and use:
library("eimpute")
Maintained by
Zhe Gao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-20
Latest Update: 2024-02-18
Description:
Efficiently impute large scale matrix with missing values via its unbiased low-rank matrix approximation. Our main approach is Hard-Impute algorithm proposed in , which achieves highly computational advantage by truncated singular-value decomposition.
How to cite:
Zhe Gao (2020). eimpute: Efficiently Impute Large Scale Incomplete Matrix. R package version 0.2.4, https://cran.r-project.org/web/packages/eimpute. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2020-03-20 14:50), 0.1.1 (2020-04-28 07:00), 0.2.1 (2022-05-02 13:50), 0.2.2 (2022-10-22 10:15), 0.2.3 (2024-02-18 23:50)
Other packages that cited eimpute R package
View eimpute citation profile
Other R packages that eimpute depends, imports, suggests or enhances
Complete documentation for eimpute
Functions, R codes and Examples using the eimpute R package
Some associated functions: biscale.control . biscale . eimpute . incomplete.generator . r.search . 
Some associated R codes: RcppExports.R . biscale.R . eimpute.R . generator.R . r.search.R .  Full eimpute package functions and examples
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