recipe r-grbase

The 'gRbase' package provides graphical modelling features used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements graph algorithms including (i) maximum cardinality search (for marked and unmarked graphs). (ii) moralization, (iii) triangulation, (iv) creation of junction tree. 'gRbase' facilitates array operations, 'gRbase' implements functions for testing for conditional independence. 'gRbase' illustrates how hierarchical log-linear models may be implemented and describes concept of graphical meta data. The facilities of the package are documented in the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>) and in the paper by Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>). Please see 'citation("gRbase")' for citation details. NOTICE 'gRbase' requires that the packages graph, 'Rgraphviz' and 'RBGL' are installed from 'bioconductor'; for installation instructions please refer to the web page given below.

Homepage:

http://people.math.aau.dk/~sorenh/software/gR/

License:

GPL2 / GPL-2.0-or-later

Recipe:

/r-grbase/meta.yaml

package r-grbase

(downloads) docker_r-grbase

versions:
2.0.3-0,  2.0.2-0,  2.0.1-1,  2.0.1-0,  2.0.0-0,  1.9.0-0,  1.8.9-3,  1.8.9-2,  1.8.9-1, 

2.0.3-0,  2.0.2-0,  2.0.1-1,  2.0.1-0,  2.0.0-0,  1.9.0-0,  1.8.9-3,  1.8.9-2,  1.8.9-1,  1.8.9-0,  1.8.8-1,  1.8.8-0,  1.8.7-1,  1.8.7-0,  1.8_6.7-2,  1.8_6.7-1,  1.8_6.7-0,  1.8_3.4-6,  1.8_3.4-5,  1.8_3.4-4,  1.8_3.4-3,  1.8_3.4-2,  1.8_3.4-1,  1.8_3.4-0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-igraph:

depends r-magrittr:

depends r-matrix:

depends r-rcpp:

>=0.11.1

depends r-rcpparmadillo:

depends r-rcppeigen:

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 r-grbase

and update with::

   mamba update r-grbase

To create a new environment, run:

mamba create --name myenvname r-grbase

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-grbase:<tag>

(see `r-grbase/tags`_ for valid values for ``<tag>``)

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