recipe r-orqa

Assess repeatability, accuracy and corss-platform agreement of titration microarray data based on order restricted inference procedures

Homepage:

https://CRAN.R-project.org/package=orQA

License:

GPL3 / GPL (>= 2)

Recipe:

/r-orqa/meta.yaml

package r-orqa

versions:

0.2.1-10,  0.2.1-9,  0.2.1-8,  0.2.1-7,  0.2.1-6,  0.2.1-5,  0.2.1-4,  0.2.1-3,  0.2.1-2, 

0.2.1-10,  0.2.1-9,  0.2.1-8,  0.2.1-7,  0.2.1-6,  0.2.1-5,  0.2.1-4,  0.2.1-3,  0.2.1-2,  0.2.1-1,  0.2.1-0

depends bioconductor-genefilter:

>=1.24.3

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-gtools:

>=2.6.1

depends r-nlme:

>=3.1_96

depends r-rcpp:

>=0.8.9

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 r-orqa

and update with::

   mamba update r-orqa

To create a new environment, run:

mamba create --name myenvname r-orqa

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/r-orqa:<tag>

(see `r-orqa/tags`_ for valid values for ``<tag>``)

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