Bioconductor version: Release (3.14)
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")
):
To install this package, start R (version "4.1") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("lmdme")
R Script | lmdme: linear model framework for PCA/PLS analysis of ANOVA decomposition on Designed Multivariate Experiments in R | |
Reference Manual | ||
Text | NEWS |
biocViews | Cancer, DifferentialExpression, ExperimentData, Microarray, OneChannel, Software, TwoChannel, Visualization |
Version | 1.36.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (9.5 years) |
License | GPL (>=2) |
Depends | R (>= 2.14.1), pls, stemHypoxia |
Imports | stats, methods, limma |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | parallel |
URL | http://www.bdmg.com.ar/?page_id=38 |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | lmdme_1.36.0.tar.gz |
Windows Binary | lmdme_1.36.0.zip |
macOS 10.13 (High Sierra) | lmdme_1.36.0.tgz |
Source Repository | git 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/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: