limpca
This is the development version of limpca; for the stable release version, see limpca.
An R package for the linear modeling of high-dimensional designed data based on ASCA/APCA family of methods
Bioconductor version: Development (3.20)
This package has for objectives to provide a method to make Linear Models for high-dimensional designed data. limpca applies a GLM (General Linear Model) version of ASCA and APCA to analyse multivariate sample profiles generated by an experimental design. ASCA/APCA provide powerful visualization tools for multivariate structures in the space of each effect of the statistical model linked to the experimental design and contrarily to MANOVA, it can deal with mutlivariate datasets having more variables than observations. This method can handle unbalanced design.
Author: Bernadette Govaerts [aut, ths], Sebastien Franceschini [ctb], Robin van Oirbeek [ctb], Michel Thiel [aut], Pascal de Tullio [dtc], Manon Martin [aut, cre] 
, Nadia Benaiche [ctb]
Maintainer: Manon Martin <manon.martin at uclouvain.be>
citation("limpca")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("limpca")
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("limpca")| Analysis of the Trout dataset with limpca | HTML | R Script |
| Analysis of the UCH dataset with limpca | HTML | R Script |
| Get started with limpca | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | ExperimentalDesign, GeneExpression, Metabolomics, MultipleComparison, PrincipalComponent, Regression, Software, StatisticalMethod, Visualization |
| Version | 1.1.0 |
| In Bioconductor since | BioC 3.19 (R-4.4) (< 6 months) |
| License | Artistic-2.0 |
| Depends | R (>= 3.5.0) |
| Imports | ggplot2, stringr, plyr, ggrepel, reshape2, grDevices, graphics, doParallel, parallel, dplyr, tibble, tidyr, ggsci, tidyverse, methods, stats, SummarizedExperiment, S4Vectors |
| System Requirements | |
| URL | https://github.com/ManonMartin/limpca https://manonmartin.github.io/limpca/ |
| Bug Reports | https://github.com/ManonMartin/limpca/issues |
See More
| Suggests | BiocStyle, pander, rmarkdown, car, gridExtra, knitr, testthat (>= 3.0.0) |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | limpca_1.1.0.tar.gz |
| Windows Binary (x86_64) | limpca_1.1.0.zip |
| macOS Binary (x86_64) | limpca_1.1.0.tgz |
| macOS Binary (arm64) | limpca_1.1.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/limpca |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/limpca |
| Bioc Package Browser | https://code.bioconductor.org/browse/limpca/ |
| Package Short Url | https://bioconductor.org/packages/limpca/ |
| Package Downloads Report | Download Stats |