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fmt
View on CRAN: Click
here
Download and install fmt package within the R console
Install from CRAN:
install.packages("fmt")
Install from Github:
library("remotes")
install_github("cran/fmt")
Install by package version:
library("remotes")
install_version("fmt", "2.0")
Attach the package and use:
library("fmt")
Maintained by
Lianbo Yu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-08-30
Latest Update: 2022-09-05
Description:
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) .
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.
How to cite:
Lianbo Yu (2012). fmt: Variance Estimation of FMT Method (Fully Moderated T-Statistic). R package version 2.0, https://cran.r-project.org/web/packages/fmt
Previous versions and publish date:
1.0 (2012-08-30 21:46)
Other packages that cited fmt R package
View fmt citation profile
Other R packages that fmt depends,
imports, suggests or enhances
Functions, R codes and Examples using
the fmt R package
Some associated functions: fmt . plotFMT .
Some associated R codes: fmt.R . Full fmt package functions and examples
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