gnu: Add r-rms.

* gnu/packages/cran.scm (r-rms): New variable.
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Ricardo Wurmus 2019-03-25 09:39:01 +01:00
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commit a8c965cfec
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@ -12434,3 +12434,47 @@ either PDF/EPS files.")
routines hazard regression, hazard estimation with flexible tails, logspline,
lspec, polyclass, and polymars.")
(license license:gpl2+)))
(define-public r-rms
(package
(name "r-rms")
(version "5.1-3")
(source
(origin
(method url-fetch)
(uri (cran-uri "rms" version))
(sha256
(base32
"1sw9a0iqiips580jpbk7yiqgyiswihvaqbnq4ybsmd4ki86i5isz"))))
(build-system r-build-system)
(propagated-inputs
`(("r-ggplot2" ,r-ggplot2)
("r-hmisc" ,r-hmisc)
("r-htmltable" ,r-htmltable)
("r-htmltools" ,r-htmltools)
("r-lattice" ,r-lattice)
("r-multcomp" ,r-multcomp)
("r-nlme" ,r-nlme)
("r-polspline" ,r-polspline)
("r-quantreg" ,r-quantreg)
("r-rpart" ,r-rpart)
("r-sparsem" ,r-sparsem)
("r-survival" ,r-survival)))
(native-inputs `(("gfortran" ,gfortran)))
(home-page "http://biostat.mc.vanderbilt.edu/rms")
(synopsis "Regression modeling strategies")
(description
"This is a package for regression modeling, testing, estimation,
validation, graphics, prediction, and typesetting by storing enhanced model
design attributes in the fit. The rms package is a collection of functions
that assist with and streamline modeling. It also contains functions for
binary and ordinal logistic regression models, ordinal models for continuous Y
with a variety of distribution families, and the Buckley-James multiple
regression model for right-censored responses, and implements penalized
maximum likelihood estimation for logistic and ordinary linear models. The
package works with almost any regression model, but it was especially written
to work with binary or ordinal regression models, Cox regression, accelerated
failure time models, ordinary linear models, the Buckley-James model,
generalized least squares for serially or spatially correlated observations,
generalized linear models, and quantile regression.")
(license license:gpl2+)))