:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'r-hemdag' .. highlight: bash r-hemdag ======== .. conda:recipe:: r-hemdag :replaces_section_title: :noindex: a collection of Hierarchical Ensemble Methods \(HEMs\) for Directed Acyclic Graphs \(DAGs\). :homepage: https://CRAN.R-project.org/package=HEMDAG :documentation: https://hemdag.readthedocs.io :developer docs: https://github.com/marconotaro/hemdag :license: GPL3 / GPL-3.0-or-later :recipe: /`r-hemdag `_/`meta.yaml `_ \[\!\[Documentation Status\]\(https\:\/\/readthedocs.org\/projects\/hemdag\/badge\/\?version\=latest\)\]\(https\:\/\/hemdag.readthedocs.io\/en\/latest\/\?badge\=latest\) HEMDAG library\: \* implements several Hierarchical Ensemble Methods \(HEMs\) for Directed Acyclic Graphs \(DAGs\)\; \* reconciles flat predictions with the topology of the ontology\; \* can enhance predictions of virtually any flat learning methods by taking into account the hierarchical relationships between ontology classes\; \* provides biologically meaningful predictions that always obey the true\-path\-rule\, the biological and logical rule that governs the internal coherence of biomedical ontologies\; \* is specifically designed for exploiting the hierarchical relationships of DAG\-structured taxonomies\, such as the Human Phenotype Ontology \(HPO\) or the Gene Ontology \(GO\)\, but can be safely applied to tree\-structured taxonomies as well \(e.g. FunCat\)\, since trees are DAGs\; \* scales nicely both in terms of the complexity of the taxonomy and in the cardinality of the examples\; \* provides several utility functions to process and analyze graphs\; \* provides several performance metrics to evaluate HEMs algorithms. .. conda:package:: r-hemdag |downloads_r-hemdag| |docker_r-hemdag| :versions: .. raw:: html
2.7.4-62.7.4-52.7.4-42.7.4-32.7.4-22.7.4-12.7.4-02.7.3-22.7.3-0 ``2.7.4-6``,  ``2.7.4-5``,  ``2.7.4-4``,  ``2.7.4-3``,  ``2.7.4-2``,  ``2.7.4-1``,  ``2.7.4-0``,  ``2.7.3-2``,  ``2.7.3-0``,  ``2.6.1-1``,  ``2.6.1-0``,  ``2.6.0-0``,  ``2.5.9-0``,  ``2.4.8-0``,  ``2.4.7-1``,  ``2.4.7-0``,  ``2.2.5-1``,  ``2.2.5-0``,  ``2.1.3-0``,  ``2.1.2-0``,  ``2.0.1-0`` .. raw:: html
:depends bioconductor-graph: :depends bioconductor-preprocesscore: :depends bioconductor-rbgl: :depends libgcc-ng: ``>=12`` :depends libstdcxx-ng: ``>=12`` :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-doparallel: :depends r-foreach: :depends r-plyr: :depends r-precrec: :requirements: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `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 `_ 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-hemdag and update with:: mamba update r-hemdag To create a new environment, run:: mamba create --name myenvname r-hemdag 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-hemdag: (see `r-hemdag/tags`_ for valid values for ````) .. |downloads_r-hemdag| image:: https://img.shields.io/conda/dn/bioconda/r-hemdag.svg?style=flat :target: https://anaconda.org/bioconda/r-hemdag :alt: (downloads) .. |docker_r-hemdag| image:: https://quay.io/repository/biocontainers/r-hemdag/status :target: https://quay.io/repository/biocontainers/r-hemdag .. _`r-hemdag/tags`: https://quay.io/repository/biocontainers/r-hemdag?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| 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/r-hemdag/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/r-hemdag/README.html