gnu: Add r-mcmc.
* gnu/packages/cran.scm (r-mcmc): New variable.
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		|  | @ -10361,3 +10361,27 @@ different regularized regression methods: lasso, adaptive lasso, PLS, and | |||
| Ridge Regression.  In addition, the package provides model selection for | ||||
| lasso, adaptive lasso and Ridge regression based on cross-validation.") | ||||
|     (license license:gpl2+))) | ||||
| 
 | ||||
| (define-public r-mcmc | ||||
|   (package | ||||
|     (name "r-mcmc") | ||||
|     (version "0.9-5") | ||||
|     (source | ||||
|      (origin | ||||
|        (method url-fetch) | ||||
|        (uri (cran-uri "mcmc" version)) | ||||
|        (sha256 | ||||
|         (base32 | ||||
|          "1i3rahph8pbhi5dsyjnkazqklg4lhh3azlyvx4kvabx50q0awxn6")))) | ||||
|     (build-system r-build-system) | ||||
|     (home-page "http://www.stat.umn.edu/geyer/mcmc/") | ||||
|     (synopsis "Markov chain Monte Carlo") | ||||
|     (description | ||||
|      "This package simulates continuous distributions of random vectors using | ||||
| @dfn{Markov chain Monte Carlo} (MCMC).  Users specify the distribution by an R | ||||
| function that evaluates the log unnormalized density.  Algorithms are random | ||||
| walk Metropolis algorithm (function @code{metrop}), simulated | ||||
| tempering (function @code{temper}), and morphometric random walk | ||||
| Metropolis (function @code{morph.metrop}), which achieves geometric ergodicity | ||||
| by change of variable.") | ||||
|     (license license:expat))) | ||||
|  |  | |||
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