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A Fast Multiple-Kernel Method Based on a Low-Rank Approximation

0packages depend
6.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

A computationally efficient and statistically rigorous fast Kernel Machine method for multi-kernel analysis. The approach is based on a low-rank approximation to the nuisance effect kernel matrices. The algorithm is applicable to continuous, binary, and survival traits and is implemented using the existing single-kernel analysis software 'SKAT' and 'coxKM'. 'coxKM' can be obtained from https://github.com/lin-lab/coxKM.

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2
READMENoVignettesNoNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7includes a package overview page
Examples that run
100%6 run in a plain check (2 of them under a condition)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
43%

Downloads

6.2K
CRAN downloads in the past year
Rank #9,195 · ~17/day · ~514/mo
Daily download trend is not available in this view yet.
38730 days
1.1K90 days
6.2K1 year
Compare downloads with other packages →
Also on69 r2u2 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing FastKM adds 4 packages (3 with compiled code, 3.6 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, RSpectra 125 KB.

Depends (3)
rARPACKstatsmethods
Imports (0)
none
LinkingTo (0)
none
Suggests (3)
coxKMSKATsurvival
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (8)
Author, Maintainer since 1.0 (2015)
Author
Listed in earlier versions (4)
Show 4 peopleHide 4 people
Holloway
no longer listed · 1.2
Sale
no longer listed · 1.2
Williams
no longer listed · 1.2
Worrall
no longer listed · 1.2
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2Latest
    record
    2025-05-04 · current release · diff ↗
  • 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
  • 1.1
    record
    2022-06-07 · diff ↗
  • 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
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0
    record
    2015-11-10
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-11-10
Total releases
3 / 11 yrs
License
GPL-2 OSI
Download size
16 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FastKM")
Holloway, S. T., Hsu, F., Lu, W., Marceau, R., Sale, M. M., Tzeng, J., Williams, S. R., & Worrall, B. B. (2025). FastKM: A Fast Multiple-Kernel Method Based on a Low-Rank Approximation (Version 1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.FastKM

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FastKM version 1.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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