recipe bioconductor-limpca

An R package for the linear modeling of high-dimensional designed data based on ASCA/APCA family of methods

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/limpca.html

License:

Artistic-2.0

Recipe:

/bioconductor-limpca/meta.yaml

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.

package bioconductor-limpca

versions:

1.2.0-0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

depends r-base:

>=4.4,<4.5.0a0

depends r-doparallel:

depends r-dplyr:

depends r-ggplot2:

depends r-ggrepel:

depends r-ggsci:

depends r-plyr:

depends r-reshape2:

depends r-stringr:

depends r-tibble:

depends r-tidyr:

depends r-tidyverse:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-limpca

and update with::

   mamba update bioconductor-limpca

To create a new environment, run:

mamba create --name myenvname bioconductor-limpca

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/bioconductor-limpca:<tag>

(see `bioconductor-limpca/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-limpca/README.html)