recipe gmtk

A publicly available toolkit for rapidly prototyping statistical models using dynamic graphical models (DGMs) and dynamic Bayesian networks (DBNs)

Homepage:

http://melodi.ee.washington.edu/gmtk/

License:

OSL-3.0

Recipe:

/gmtk/meta.yaml

package gmtk

versions:

1.4.4-16,  1.4.4-15,  1.4.4-14,  1.4.4-13,  1.4.4-12,  1.4.4-11,  1.4.4-10,  1.4.4-9,  1.4.4-8, 

1.4.4-16,  1.4.4-15,  1.4.4-14,  1.4.4-13,  1.4.4-12,  1.4.4-11,  1.4.4-10,  1.4.4-9,  1.4.4-8,  1.4.4-7,  1.4.4-6,  1.4.4-5,  1.4.4-4,  1.4.4-3,  1.4.4-2,  1.4.4-1,  1.4.4-0

depends gxx_linux-64:

10.*

depends hdf5:

>=1.14.3,<1.14.4.0a0

depends libgcc:

depends libgcc-ng:

>=12

depends libstdcxx:

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.3.1,<2.0a0

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 gmtk

and update with::

   mamba update gmtk

To create a new environment, run:

mamba create --name myenvname gmtk

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/gmtk:<tag>

(see `gmtk/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/gmtk/README.html)