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-rw-r--r--gnu/packages/cran.scm44
1 files changed, 44 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 7ea30dcc74..b69a4defd6 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -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+)))