R Observatory: Metrics for RMKL version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2021-04-07. Its history is shown below.

Reason: check problems were not corrected in time. Use of uninitialised memory detected by valgrind

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

RMKL

1.0Package record

Multiple Kernel Learning for Classification or Regression Problems

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Christopher WilsonCRAN page ↗

Provides R and C++ function that enable the user to conduct multiple kernel learning (MKL) and cross validation for support vector machine (SVM) models. Cross validation can be used to identify kernel shapes and hyperparameter combinations that can be used as candidate kernels for MKL. There are three implementations provided in this package, namely SimpleMKL Alain Rakotomamonjy et. al (2008), Simple and Efficient MKL Xu et. al (2010), and Dual augmented Lagrangian MKL Suzuki and Tomioka (2011) doi:10.1007/s10994-011-5252-9. These methods identify the convex combination of candidate kernels to construct an optimal hyperplane.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/RMKL/RMKL_1.0.tar.gz"
pkgFile <- "RMKL_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

READMEYes · 390 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 100%10 run in a plain check
Exported functions with examples: 100%
Documented parameters: 93%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

RMKL Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on5 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (5)

Rcpp caret kernlabstatse1071

LinkingTo (2)

Rcpp RcppArmadillo

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

Datasets

People & History

People (2)

Christopher Wilson

Contributor

Kaiqiao Li

Contributor

Maintainer since 1.0 (2019)

Releases (1)

R
R 4.1.0 released · 2021-05-18
archivedRemoved from CRAN
2021-04-07
check problems were not corrected in time Use of uninitialised memory detected by valgrind
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.0
record
2019-04-25
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2019-04-25
Total releases: 1 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 27 KB / 1 file

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RMKL")

Format

Wilson, C., & Li, K. (n.d.). RMKL: Multiple Kernel Learning for Classification or Regression Problems (Version 1.0) [Computer software]. Retrieved October 26, 2026, from https://CRAN.R-project.org/package=RMKL

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 RMKL 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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