02/05: gnu: Add r-mlecens.

[guix-commits]

rekado pushed a commit to branch master
in repository guix.

commit 4a1377000305a923ea46f88a07a55ee38cf82bfc
Author: Peter Lo <peterloleungyau@gmail.com>
AuthorDate: Mon Jun 29 16:03:37 2020 +0800

    gnu: Add r-mlecens.
    
    * gnu/packages/cran.scm (r-mlecens): New variable.
    
    Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
---
 gnu/packages/cran.scm | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 7e5057b..d67dcc9 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -24186,3 +24186,30 @@ model-related packages.")
 statistical analysis that share the underlying design philosophy, grammar, and
 data structures of the tidyverse.")
     (license license:gpl3)))
+
+(define-public r-mlecens
+  (package
+    (name "r-mlecens")
+    (version "0.1-4")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "MLEcens" version))
+       (sha256
+        (base32
+         "0zlmrcjraypscgs2v0w4s4hm7qccsmaz4hjsgqpn0058vx622945"))))
+    (properties `((upstream-name . "MLEcens")))
+    (build-system r-build-system)
+    (home-page "http://stat.ethz.ch/~maathuis/";)
+    (synopsis "Computation of the MLE for bivariate (interval) censored data")
+    (description
+     "This package contains functions to compute the nonparametric
+@dfn{maximum likelihood estimator} (MLE) for the bivariate distribution of
+@code{(X,Y)}, when realizations of @code{(X,Y)} cannot be observed directly.
+To be more precise, we consider the situation where we observe a set of
+rectangles that are known to contain the unobservable realizations of (X,Y).
+We compute the MLE based on such a set of rectangles.  The methods can also be
+used for univariate censored data (see data set @code{cosmesis}), and for
+censored data with competing risks (see data set @code{menopause}).  The
+package also provides functions to visualize the observed data and the MLE.")
+    (license license:gpl2+)))