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transformGamPoi

This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see transformGamPoi.

Variance Stabilizing Transformation for Gamma-Poisson Models


Bioconductor version: 3.19

Variance-stabilizing transformations help with the analysis of heteroskedastic data (i.e., data where the variance is not constant, like count data). This package provide two types of variance stabilizing transformations: (1) methods based on the delta method (e.g., 'acosh', 'log(x+1)'), (2) model residual based (Pearson and randomized quantile residuals).

Author: Constantin Ahlmann-Eltze [aut, cre]

Maintainer: Constantin Ahlmann-Eltze <artjom31415 at googlemail.com>

Citation (from within R, enter citation("transformGamPoi")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("transformGamPoi")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("transformGamPoi")
glmGamPoi Quickstart HTML R Script
Reference Manual PDF
NEWS Text

Details

Version 1.10.0
In Bioconductor since BioC 3.14 (R-4.1) (3 years)
License GPL-3
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Package Archives

Follow Installation instructions to use this package in your R session.

Windows Binary (x86_64) transformGamPoi_1.10.0.zip
macOS Binary (x86_64) transformGamPoi_1.10.0.tgz
macOS Binary (arm64) transformGamPoi_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/transformGamPoi
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/transformGamPoi
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Old Source Packages for BioC 3.19 Source Archive

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