fmt: Variance estimation of FMT method (Fully Moderated t-statistic)

This package computes posterior residual variances to be used in the denominator of a moderated t-statistic from a linear model analysis of microarray data. It is an extension of the moderated t-statistic original proposed by Smyth (2004). 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 level. 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: 1.0
Suggests: limma
Published: 2012-08-30
Author: Lianbo Yu, The Ohio State University
Maintainer: Lianbo Yu <Lianbo.Yu at osumc.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: fmt results

Downloads:

Reference manual: fmt.pdf
Package source: fmt_1.0.tar.gz
Windows binaries: r-devel: fmt_1.0.zip, r-release: fmt_1.0.zip, r-oldrel: fmt_1.0.zip
OS X El Capitan binaries: r-release: fmt_1.0.tgz
OS X Mavericks binaries: r-oldrel: fmt_1.0.tgz

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