Package: eimpute 0.2.4

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:Zhe Gao [aut, cre], Jin Zhu [aut], Junxian Zhu [aut], Xueqin Wang [aut], Yixuan Qiu [cph], Gael Guennebaud [cph, ctb], Jitse Niesen [cph, ctb], Ray Gardner [ctb]

eimpute_0.2.4.tar.gz
eimpute_0.2.4.zip(r-4.7-x86_64)eimpute_0.2.4.zip(r-4.7-arm64)eimpute_0.2.4.zip(r-4.6-x86_64)eimpute_0.2.4.zip(r-4.6-arm64)eimpute_0.2.4.zip(r-4.5-x86_64)
eimpute_0.2.4.tgz(r-4.6-x86_64)eimpute_0.2.4.tgz(r-4.6-arm64)eimpute_0.2.4.tgz(r-4.5-x86_64)eimpute_0.2.4.tgz(r-4.5-arm64)
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eimpute_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
eimpute/json (API)

# Install 'eimpute' in R:

install.packages('eimpute', repos = c('https://gaozhe33.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas cpp

2.74 score 11 scripts 400 downloads 5 exports 2 dependencies

Last updated from:e1a037a34a. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	116
linux-devel-x86_64	OK	147
source / vignettes	OK	232
linux-release-arm64	OK	155
linux-release-x86_64	OK	144
macos-release-arm64	OK	220
macos-release-x86_64	OK	357
macos-oldrel-arm64	OK	236
macos-oldrel-x86_64	OK	358
windows-devel-arm64	OK	382
windows-devel-x86_64	OK	174
windows-release-arm64	OK	354
windows-release-x86_64	OK	156
windows-oldrel-x86_64	OK	144
wasm-release	OK	104

Exports:biscale biscale.control eimpute incomplete.generator r.search

Dependencies:Rcpp RcppEigen

eimpute: Efficiently IMPUTE Large Scale Incomplete Matrix

Introduction | Installation | Quick Example

Rendered fromeimpute.Rmdusingknitr::rmarkdown

Last update: 2022-05-02
Started: 2020-03-20

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

Package: eimpute 0.2.4

eimpute: Efficiently Impute Large Scale Incomplete Matrix

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)