:orphan:  .. only available via index, not via toctree

.. title:: Package Recipe 'bioconductor-sparsenetgls'
.. highlight: bash

bioconductor-sparsenetgls
=========================

.. conda:recipe:: bioconductor-sparsenetgls
   :replaces_section_title:
   :noindex:

   Using Gaussian graphical structue learning estimation in generalized least squared regression for multivariate normal regression

   :homepage: https://bioconductor.org/packages/3.18/bioc/html/sparsenetgls.html
   :license: GPL-3
   :recipe: /`bioconductor-sparsenetgls <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-sparsenetgls>`_/`meta.yaml <https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-sparsenetgls/meta.yaml>`_

   The package provides methods of combining the graph structure learning and generalized least squares regression to improve the regression estimation. The main function sparsenetgls\(\) provides solutions for multivariate regression with Gaussian distributed dependant variables and explanatory variables utlizing multiple well\-known graph structure learning approaches to estimating the precision matrix\, and uses a penalized variance covariance matrix with a distance tuning parameter of the graph structure in deriving the sandwich estimators in generalized least squares \(gls\) regression. This package also provides functions for assessing a Gaussian graphical model which uses the penalized approach. It uses Receiver Operative Characteristics curve as a visualization tool in the assessment.


.. conda:package:: bioconductor-sparsenetgls

   |downloads_bioconductor-sparsenetgls| |docker_bioconductor-sparsenetgls|

   :versions:
      
      
      .. raw:: html

         <details><summary><span class="truncated-version-list"><code>1.20.0-0</code>,  <code>1.18.0-0</code>,  <code>1.16.0-0</code>,  <code>1.12.0-0</code>,  <code>1.10.0-0</code>,  <code>1.8.0-1</code>,  <code>1.8.0-0</code>,  <code>1.6.0-0</code>,  <code>1.4.0-0</code>,  </span></summary>
      

      ``1.20.0-0``,  ``1.18.0-0``,  ``1.16.0-0``,  ``1.12.0-0``,  ``1.10.0-0``,  ``1.8.0-1``,  ``1.8.0-0``,  ``1.6.0-0``,  ``1.4.0-0``,  ``1.2.0-1``,  ``1.2.0-0``,  ``1.0.1-0``

      
      .. raw:: html

         </details>
      

   
   :depends r-base: ``>=4.3,<4.4.0a0``
   :depends r-glmnet: 
   :depends r-huge: 
   :depends r-mass: 
   :depends r-matrix: 
   :requirements:

   .. rubric:: Installation

  You need a conda-compatible package manager
  (currently either `micromamba <https://mamba.readthedocs.io>`_, `mamba <https://mamba.readthedocs.io>`_, or `conda <https://docs.conda.io/projects/conda>`_)
  and the Bioconda channel already activated (see :ref:`set-up-channels`).

  While any of above package managers is fine, it is currently recommended to use either
  micromamba or mamba (see `here <https://mamba.readthedocs.io>`_ 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 bioconductor-sparsenetgls

   and update with::

      mamba update bioconductor-sparsenetgls

  To create a new environment, run::

      mamba create --name myenvname bioconductor-sparsenetgls

  with ``myenvname`` being a reasonable name for the environment
  (see e.g. the `mamba docs <https://mamba.readthedocs.io>`_ for details and further options).

  Alternatively, use the docker container::

      docker pull quay.io/biocontainers/bioconductor-sparsenetgls:<tag>

   (see `bioconductor-sparsenetgls/tags`_ for valid values for ``<tag>``)


.. |downloads_bioconductor-sparsenetgls| image:: https://img.shields.io/conda/dn/bioconda/bioconductor-sparsenetgls.svg?style=flat
   :target: https://anaconda.org/bioconda/bioconductor-sparsenetgls
   :alt:   (downloads)
.. |docker_bioconductor-sparsenetgls| image:: https://quay.io/repository/biocontainers/bioconductor-sparsenetgls/status
   :target: https://quay.io/repository/biocontainers/bioconductor-sparsenetgls
.. _`bioconductor-sparsenetgls/tags`: https://quay.io/repository/biocontainers/bioconductor-sparsenetgls?tab=tags


.. raw:: html

    <script>
        var package = "bioconductor-sparsenetgls";
        var versions = ["1.20.0","1.18.0","1.16.0","1.12.0","1.10.0"];
    </script>






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-----------------

.. raw:: html
    :file: ../../templates/package_dashboard.html

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