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author | Ricardo Wurmus <ricardo.wurmus@mdc-berlin.de> | 2018-11-12 16:22:28 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2018-11-14 15:13:20 +0100 |
commit | 488dc4e1e27327831d08cb8f33a9128dc1b7eb26 (patch) | |
tree | 5a52ee19ea575c9890404a16c80a0ec0c6150750 /gnu | |
parent | 0c92f3734e64086599940cf32a37b4cdd3be3648 (diff) | |
download | guix-488dc4e1e27327831d08cb8f33a9128dc1b7eb26.tar.gz |
gnu: Add r-abn.
* gnu/packages/cran.scm (r-abn): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/cran.scm | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 093c51ee9a..446062cce6 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -4816,6 +4816,43 @@ be added or removed. When working with Word documents, a cursor can be used to help insert or delete content at a specific location in the document.") (license license:gpl3))) +(define-public r-abn + (package + (name "r-abn") + (version "1.2") + (source + (origin + (method url-fetch) + (uri (cran-uri "abn" version)) + (sha256 + (base32 + "00k0razgdb5y5f62622fm7rxkcxrxg470nyyb02dvpfp60254kvs")))) + (build-system r-build-system) + (inputs + `(("gsl" ,gsl))) + (propagated-inputs + `(("r-cairo" ,r-cairo) + ("r-lme4" ,r-lme4) + ("r-mass" ,r-mass) + ("r-nnet" ,r-nnet) + ("r-rcpp" ,r-rcpp) + ("r-rcpparmadillo" ,r-rcpparmadillo) + ("r-rjags" ,r-rjags))) + (home-page "http://www.r-bayesian-networks.org") + (synopsis "Modelling multivariate data with additive bayesian networks") + (description + "Bayesian network analysis is a form of probabilistic graphical models +which derives from empirical data a directed acyclic graph, DAG, describing +the dependency structure between random variables. An additive Bayesian +network model consists of a form of a DAG where each node comprises a +@dfn{generalized linear model} (GLM). Additive Bayesian network models are +equivalent to Bayesian multivariate regression using graphical modelling, they +generalises the usual multivariable regression, GLM, to multiple dependent +variables. This package provides routines to help determine optimal Bayesian +network models for a given data set, where these models are used to identify +statistical dependencies in messy, complex data.") + (license license:gpl2+))) + (define-public r-snakecase (package (name "r-snakecase") |