:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'r-mixkernel' .. highlight: bash r-mixkernel =========== .. conda:recipe:: r-mixkernel :replaces_section_title: :noindex: Kernel\-based methods are powerful methods for integrating heterogeneous types of data. mixKernel aims at providing methods to combine kernel for unsupervised exploratory analysis. Different solutions are provided to compute a meta\-kernel\, in a consensus way or in a way that best preserves the original topology of the data. mixKernel also integrates kernel PCA to visualize similarities between samples in a non linear space and from the multiple source point of view. Functions to assess and display important variables are also provided in the package. Jerome Mariette and Nathalie Villa\-Vialaneix \(2017\) \. :homepage: https://CRAN.R-project.org/package=mixKernel :license: GPL3 / GPL (>= 2) :recipe: /`r-mixkernel `_/`meta.yaml `_ .. conda:package:: r-mixkernel |downloads_r-mixkernel| |docker_r-mixkernel| :versions: .. raw:: html
0.9-00.8-20.8-10.8-00.7-00.6-00.5-20.5-10.5-0 ``0.9-0``,  ``0.8-2``,  ``0.8-1``,  ``0.8-0``,  ``0.7-0``,  ``0.6-0``,  ``0.5-2``,  ``0.5-1``,  ``0.5-0``,  ``0.4-2``,  ``0.4-1``,  ``0.4-0``,  ``0.3-1``,  ``0.3-0`` .. raw:: html
:depends bioconductor-mixomics: :depends bioconductor-phyloseq: :depends r-base: ``>=4.3,<4.4.0a0`` :depends r-corrplot: :depends r-ggplot2: :depends r-ldrtools: :depends r-markdown: :depends r-matrix: :depends r-psych: :depends r-quadprog: :depends r-reticulate: ``>=1.14`` :depends r-vegan: :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-mixkernel and update with:: mamba update r-mixkernel To create a new environment, run:: mamba create --name myenvname r-mixkernel 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-mixkernel: (see `r-mixkernel/tags`_ for valid values for ````) .. |downloads_r-mixkernel| image:: https://img.shields.io/conda/dn/bioconda/r-mixkernel.svg?style=flat :target: https://anaconda.org/bioconda/r-mixkernel :alt: (downloads) .. |docker_r-mixkernel| image:: https://quay.io/repository/biocontainers/r-mixkernel/status :target: https://quay.io/repository/biocontainers/r-mixkernel .. _`r-mixkernel/tags`: https://quay.io/repository/biocontainers/r-mixkernel?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-mixkernel/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-mixkernel/README.html