recipe pymvpa

PyMVPA -- Multivariate Pattern Analysis in Python

Homepage:

http://www.pymvpa.org/

Developer docs:

https://github.com/PyMVPA/PyMVPA

License:

perl_5

Recipe:

/pymvpa/meta.yaml

package pymvpa

(downloads) docker_pymvpa

versions:
2.6.5-82.6.5-62.6.5-52.6.5-42.6.5-32.6.5-22.6.5-12.6.5-02.6.4-0

2.6.5-82.6.5-62.6.5-52.6.5-42.6.5-32.6.5-22.6.5-12.6.5-02.6.4-02.6.0-22.6.0-12.6.0-0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libsvm:

>=3.21,<4.0a0

depends libzlib:

>=1.2.13,<1.3.0a0

depends matplotlib:

depends numpy:

>=1.21.6,<2.0a0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends scipy:

depends swig:

depends zlib:

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 pymvpa

and update with::

   mamba update pymvpa

To create a new environment, run:

mamba create --name myenvname pymvpa

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/pymvpa:<tag>

(see `pymvpa/tags`_ for valid values for ``<tag>``)

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