R Observatory: Metrics for ECLRMC version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2026-05-04. Its history is shown below.

Reason: email to the maintainer is undeliverable

Details below reflect version 1.0, its last release before removal.

ECLRMC

1.0Package record

Ensemble Correlation-Based Low-Rank Matrix Completion

0packages depend

1Kdownloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Mahdi GhadamyariCRAN page ↗

Ensemble correlation-based low-rank matrix completion method (ECLRMC) is an extension to the LRMC based methods. Traditionally, the LRMC based methods give identical importance to the whole data which results in emphasizing on the commonality of the data and overlooking the subtle but crucial differences. This method aims to overcome the equality assumption problem that exists in the current LRMS based methods. Ensemble correlation-based low-rank matrix completion (ECLRMC) takes consideration of the specific characteristic of each sample and performs LRMC on the set of samples with a strong correlation. It uses an ensemble learning method to improve the imputation performance. Since each sample is analyzed independently this method can be parallelized by distributing imputation across many computation units or GPU platforms. This package provides three different methods (LRMC, CLRMC and ECLRMC) for data imputation. There is also an NRMS function for evaluating the result. Chen, Xiaobo, et al (2017) doi:10.1016/j.knosys.2017.06.010.

Changes in 1.0

The initial release of ECLRMC Package. Available imputation methods: LRMC(x), CLRMC(x, beta) and ECLRMC.

From NEWS.md in the release

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/ECLRMC/ECLRMC_1.0.tar.gz"
pkgFile <- "ECLRMC_1.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Status changes

OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0

READMEYes · 145 wordsVignettesNoNEWSYes · 67% structured · mentions 1.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 4
Examples that run: 100%4 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 75%

How these are measured

Downloads

1K

CRAN downloads in the past year

Rank #25,731 · ~3/day · ~85/mo

Releases R versions

Daily download trend is not available in this view yet.

030 days

090 days

1K1 year

Compare downloads with other packages →

Also on70 r2u3 autocran102 c2d4u

How downloads are counted

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (1)

softImpute

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Mahdi Ghadamyari

Author, Maintainer since 1.0 (2018)

Mehdi Naseri

Author

Releases (1)

archivedRemoved from CRAN
2026-05-04
email to the maintainer is undeliverable
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.0
record
2018-08-31
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-08-31
Total releases: 1 / 8 yrs
License: GPL-2 OSI
Download size: 4.0 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ECLRMC")

Format

Ghadamyari, M., & Naseri, M. (n.d.). ECLRMC: Ensemble Correlation-Based Low-Rank Matrix Completion (Version 1.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=ECLRMC

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ECLRMC version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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