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SmartSVA

0.1.3

Fast and Robust Surrogate Variable Analysis

0packages depend
4.9Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Jun ChenFirst published 2016-11-134 releasesCRAN page ↗

Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the 'irwsva.build' function of the 'sva' package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 6.0 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
Dependencies · direct
Check history
  • NOTE2026-06-27
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-21
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-06-06
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 4 earlier snapshots
  • ERROR2026-06-05
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-04-22
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    8 OK · 5 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

4.9K
CRAN downloads in the past year
Rank #8,250 · ~14/day · ~411/mo
Daily download trend is not available in this view yet.
31830 days
1.1K90 days
4.9K1 year
Compare downloads with other packages →
Also on381 r2u1.5K bioconda

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (4)
R >= 3.1.0svaisvaRSpectra
Imports (3)
Rcppstatsutils
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (2)
no longer listed · 0.1.0 to 0.1.3
no longer listed · 0.1.0 to 0.1.3
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.3Latest
    2017-05-28 · current release · diff ↗
  • 0.1.2
    2017-05-26 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.1.1
    2016-11-24 · diff ↗
  • 0.1.0
    2016-11-13
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-11-13
Total releases
4 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 3.1.0
Download size
5.4 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SmartSVA")

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 SmartSVA version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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