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fmt  

Variance Estimation of FMT Method (Fully Moderated T-Statistic)
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]
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. Accessed 09 Apr. 2025.
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
Complete documentation for fmt
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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