The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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

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.

Version: 2.0
Depends: R (≥ 3.5.0), limma
Published: 2022-09-05
DOI: 10.32614/CRAN.package.fmt
Author: Lianbo Yu [aut, cre]
Maintainer: Lianbo Yu <Lianbo.Yu at osumc.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: fmt results

Documentation:

Reference manual: fmt.pdf

Downloads:

Package source: fmt_2.0.tar.gz
Windows binaries: r-devel: fmt_2.0.zip, r-release: fmt_2.0.zip, r-oldrel: fmt_2.0.zip
macOS binaries: r-release (arm64): fmt_2.0.tgz, r-oldrel (arm64): fmt_2.0.tgz, r-release (x86_64): fmt_2.0.tgz, r-oldrel (x86_64): fmt_2.0.tgz
Old sources: fmt archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fmt to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.