recipe sts-smctc

A C++ template class library for the efficient and convenient implementation of very general Sequential Monte Carlo algorithms.

Homepage:

https://github.com/matsengrp/smctc

License:

GPL-3.0

Recipe:

/sts-smctc/meta.yaml

package sts-smctc

versions:

1.0-11,  1.0-10,  1.0-9,  1.0-8,  1.0-7,  1.0-6,  1.0-5,  1.0-4,  1.0-3, 

1.0-11,  1.0-10,  1.0-9,  1.0-8,  1.0-7,  1.0-6,  1.0-5,  1.0-4,  1.0-3,  1.0-2,  1.0-1,  1.0-0

depends gsl:

>=2.7,<2.8.0a0

depends libcblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

requirements:

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 sts-smctc

and update with::

   mamba update sts-smctc

To create a new environment, run:

mamba create --name myenvname sts-smctc

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/sts-smctc:<tag>

(see `sts-smctc/tags`_ for valid values for ``<tag>``)

Notes

This fork of smctc is maintained by the [Matsen research group at the Fred Hutchinson Cancer Research Centre](http://matsen.fredhutch.org/) for use in the [Sequential Tree Sampler online phylogenetics package](https://github.com/OnlinePhylo/sts)

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/sts-smctc/README.html)