R Observatory: Metrics for LargeRegression version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2014-11-24. Its history is shown below.

Reason: maintainer address <<jeff.ct.wong@stanford.edu> bounced

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

LargeRegression

1.0Package record

Large Regressions

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

CRAN page ↗

Uses gradient descent to minimize the sum of squared residuals for the regression problem. Can include an L2 penalty on the coefficient matrix. This function is very useful when there is an initial guess of what B should be in Y = XB. In general, this function performs faster than R's lm function. GPU acceleration can be used to make this function extremely fast. This package suggests cudaMatrixOps, which is not on CRAN but can be downloaded at stanford.edu/~jeffwong.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/LargeRegression/LargeRegression_1.0.tar.gz"
pkgFile <- "LargeRegression_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.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2includes a package overview page
Examples that run: 0%2 hold no code
Exported functions with examples: 100%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 100%

How these are measured

Downloads

LargeRegression Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

How downloads are counted

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (1)

Matrix

Imports (0)

none

LinkingTo (0)

none

Suggests (1)

cudaMatrixOps

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 (1)

Jeffrey Wong

Contributor

Releases (1)

R
R 3.2.0 released · 2015-04-16
archivedRemoved from CRAN
2014-11-24
maintainer address <<jeff.ct.wong@stanford.edu> bounced
R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03
R
R 2.15.0 released · 2012-03-30
R
R 2.14.0 released · 2011-10-31
1.0
record
2011-08-05
R
R 2.13.0 released · 2011-04-13

Package metadata

First published: 2011-08-05
Total releases: 1 / 15 yrs
License: GPL

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LargeRegression")

Format

Wong, J. (n.d.). LargeRegression: Large Regressions (Version 1.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=LargeRegression

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 LargeRegression 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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