recipe r-phewas

Phenome Wide Association Studies (PheWAS) - Functions to perform Phenome Wide Association Studies (PheWAS). These functions include the conversion of ICD9 codes to PheWAS codes (v1.2), statistical analysis, and plotting.

Homepage:

https://github.com/PheWAS/PheWAS

License:

GPL / GPL-3

Recipe:

/r-phewas/meta.yaml

Links:

doi: 10.1093/bioinformatics/btu197

package r-phewas

(downloads) docker_r-phewas

versions:
0.99.6-1,  0.99.6-0,  0.12.1-8,  0.12.1-7,  0.12.1-6,  0.12.1-5,  0.12.1-4,  0.12.1-3,  0.12.1-2, 

0.99.6-1,  0.99.6-0,  0.12.1-8,  0.12.1-7,  0.12.1-6,  0.12.1-5,  0.12.1-4,  0.12.1-3,  0.12.1-2,  0.12.1-1,  0.12.1-0

depends libgcc:

>=13

depends libgfortran:

depends libgfortran5:

>=13.3.0

depends r-base:

>=4.4,<4.5.0a0

depends r-dplyr:

depends r-dt:

depends r-ggplot2:

>=2.2.0

depends r-ggrepel:

depends r-lmtest:

depends r-logistf:

depends r-mass:

depends r-meta:

depends r-survival:

depends r-tidyr:

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-phewas

and update with::

   mamba update r-phewas

To create a new environment, run:

mamba create --name myenvname r-phewas

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-phewas:<tag>

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

Download stats

Link to this page

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