gnu: Add r-rms.
* gnu/packages/cran.scm (r-rms): New variable.
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@ -12434,3 +12434,47 @@ either PDF/EPS files.")
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routines hazard regression, hazard estimation with flexible tails, logspline,
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lspec, polyclass, and polymars.")
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(license license:gpl2+)))
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(define-public r-rms
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(package
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(name "r-rms")
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(version "5.1-3")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "rms" version))
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(sha256
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(base32
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"1sw9a0iqiips580jpbk7yiqgyiswihvaqbnq4ybsmd4ki86i5isz"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-ggplot2" ,r-ggplot2)
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("r-hmisc" ,r-hmisc)
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("r-htmltable" ,r-htmltable)
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("r-htmltools" ,r-htmltools)
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("r-lattice" ,r-lattice)
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("r-multcomp" ,r-multcomp)
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("r-nlme" ,r-nlme)
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("r-polspline" ,r-polspline)
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("r-quantreg" ,r-quantreg)
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("r-rpart" ,r-rpart)
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("r-sparsem" ,r-sparsem)
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("r-survival" ,r-survival)))
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(native-inputs `(("gfortran" ,gfortran)))
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(home-page "http://biostat.mc.vanderbilt.edu/rms")
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(synopsis "Regression modeling strategies")
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(description
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"This is a package for regression modeling, testing, estimation,
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validation, graphics, prediction, and typesetting by storing enhanced model
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design attributes in the fit. The rms package is a collection of functions
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that assist with and streamline modeling. It also contains functions for
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binary and ordinal logistic regression models, ordinal models for continuous Y
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with a variety of distribution families, and the Buckley-James multiple
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regression model for right-censored responses, and implements penalized
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maximum likelihood estimation for logistic and ordinary linear models. The
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package works with almost any regression model, but it was especially written
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to work with binary or ordinal regression models, Cox regression, accelerated
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failure time models, ordinary linear models, the Buckley-James model,
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generalized least squares for serially or spatially correlated observations,
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generalized linear models, and quantile regression.")
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(license license:gpl2+)))
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