recipe r-metap

The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Lancaster, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and a routine for graphical display.

Homepage:

http://www.dewey.myzen.co.uk/meta/meta.html

License:

GPL2 / GPL-2

Recipe:

/r-metap/meta.yaml

package r-metap

(downloads) docker_r-metap

versions:

1.4-3,  1.4-2,  1.4-1,  1.4-0

depends r-base:

>=4.3,<4.4.0a0

depends r-lattice:

depends r-mathjaxr:

>=0.8_3

depends r-mutoss:

depends r-rdpack:

>=0.7

depends r-tfisher:

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-metap

and update with::

   mamba update r-metap

To create a new environment, run:

mamba create --name myenvname r-metap

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-metap:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda 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/r-metap/README.html)