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lmdme

This is the released version of lmdme; for the devel version, see lmdme.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11

Linear Model decomposition for Designed Multivariate Experiments


Bioconductor version: Release (3.23)

linear ANOVA decomposition of Multivariate Designed Experiments implementation based on limma lmFit. Features: i)Flexible formula type interface, ii) Fast limma based implementation, iii) p-values for each estimated coefficient levels in each factor, iv) F values for factor effects and v) plotting functions for PCA and PLS.

Author: Cristobal Fresno and Elmer A. Fernandez

Maintainer: Cristobal Fresno <cfresno at bdmg.com.ar>

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

Cristobal Fresno and Elmer A. Fernandez. lmdme: Linear Model decomposition for Designed Multivariate Experiments. doi:10.18129/B9.bioc.lmdme, R package version 1.54.0, https://bioconductor.org/packages/lmdme.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("lmdme")

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("lmdme")
lmdme: linear model framework for PCA/PLS analysis of ANOVA decomposition on Designed Multivariate Experiments in R PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews Cancer, DifferentialExpression, ExperimentData, Microarray, OneChannel, Software, TwoChannel, Visualization
Version1.54.0
In Bioconductor sinceBioC 2.11 (R-2.15) (14 years)
License GPL (>=2)
Depends R (>= 2.14.1), pls, stemHypoxia
Imports stats, methods, limma
System Requirements
URLhttp://www.bdmg.com.ar/?page_id=38
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Enhances parallel
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Package Archives

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

Source Package lmdme_1.54.0.tar.gz
Windows Binary (x86_64) lmdme_1.54.0.zip
macOS Binary (big-sur-x86_64) lmdme_1.54.0.tgz
macOS Binary (sonoma-arm64) lmdme_1.54.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/lmdme
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/lmdme
Package Short Url https://bioconductor.org/packages/lmdme/
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