R Observatory: Metrics for RLMM version 1.14.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2011-04-26. Its history is shown below.

Reason: This package is now available from Bioconductor only, see <https://www.bioconductor.org/packages/release/bioc/html/RLMM.html>

Details below reflect version 1.14.0, its last release before removal.

RLMM

1.14.0Package record

A Genotype Calling Algorithm for Affymetrix SNP Arrays

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Nusrat RabbeeCRAN page ↗Website ↗

A classification algorithm, based on a multi-chip, multi-SNP approach for Affymetrix SNP arrays. Using a large training sample where the genotype labels are known, this aglorithm will obtain more accurate classification results on new data. RLMM is based on a robust, linear model and uses the Mahalanobis distance for classification. The chip-to-chip non-biological variation is removed through normalization. This model-based algorithm captures the similarities across genotype groups and probes, as well as thousands other SNPs for accurate classification. NOTE: 100K-Xba only at for now.

Install

BioconductorR (source archive)

BiocManager::install("RLMM")

Installs the current Bioconductor release. Requires the BiocManager package.

url <- "https://cran.r-project.org/src/contrib/Archive/RLMM/RLMM_1.14.0.tar.gz"
pkgFile <- "RLMM_1.14.0.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 (1.14.0) 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.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.8.0

Release 1.14.0 has not been analysed yet.

READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes

Help pages: 4
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 0%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on58 r2u1.7K bioconda

How downloads are counted

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.1.0

Imports (5)

graphicsgrDevicesMASSstatsutils

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)

Nusrat Rabbee

Contributor

Gary Wong

Contributor

Maintainer since 0.7 (2005)

Releases (6)

Pick two releases to compare their code metrics.

1.14.0archived
2011-04-26 · diff ↗
This package is now available from Bioconductor only, see <https://www.bioconductor.org/packages/release/bioc/html/RLMM.html>
R
R 2.2.0 released · 2005-10-06
1.14.0
record
2005-09-02 · diff ↗
1.12.0
record
2005-09-02 · diff ↗ ·
added 4 exports
Classify, create_Thetafile, normalize_Rawfiles, plot_theta
1.10.0
record
2005-09-02 · diff ↗
1.8.0
record
2005-09-02 · diff ↗
1.6.0
record
2005-09-02 · diff ↗ ·
removed 4 exports
Classify, create_Thetafile, normalize_Rawfiles, plot_theta
0.7
record
2005-09-02
R
R 2.1.0 released · 2005-04-18

Package metadata

First published: 2005-09-02
Total releases: 6 / 21 yrs
License: LGPL (>= 2) OSI
Minimum R: ≥ 2.1.0

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RLMM")

Format

Rabbee, N., & Wong, G. (n.d.). RLMM: A Genotype Calling Algorithm for Affymetrix SNP Arrays (Version 1.14.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=RLMM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 RLMM version 1.14.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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