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fmt

2.0

Variance Estimation of FMT Method (Fully Moderated T-Statistic)

0packages depend
2.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Lianbo YuFirst published 2012-08-302 releasesCRAN page ↗

The FMT method computes posterior residual variances to be used in the denominator of a moderated t-statistic from a linear model analysis of gene expression data. It is an extension of the moderated t-statistic originally proposed by Smyth (2004) doi:10.2202/1544-6115.1027. LOESS local regression and empirical Bayesian method are used to estimate gene specific prior degrees of freedom and prior variance based on average gene intensity levels. The posterior residual variance in the denominator is a weighted average of prior and residual variance and the weights are prior degrees of freedom and residual variance degrees of freedom. The degrees of freedom of the moderated t-statistic is simply the sum of prior and residual variance degrees of freedom.

Install

Health

CRAN checks
13OK
Slowest check: 54 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 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
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #20,451 · ~7/day · ~220/mo
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17330 days
55590 days
2.6K1 year
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (2)
R >= 3.5.0limma
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 1.0
Package Timeline

2 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
  • 2.0Latest
    2022-09-05 · current release · diff ↗
  • unarchivedReturned to CRAN
    2022-09-05
  • 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
  • archivedRemoved from CRAN
    2019-01-26
    check problems were not corrected despite reminders
  • 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
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
Show 3 earlier events
  • R
    R 3.0.0 released · 2013-04-03
  • 1.0
    2012-08-30
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2012-08-30
Total releases
2 / 14 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Download size
3.2 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fmt")
Yu, L. (2022). fmt: Variance Estimation of FMT Method (Fully Moderated T-Statistic) (Version 2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.fmt

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fmt version 2.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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