gnu: Add r-abctools.

[jackhill/guix/guix.git] / gnu / packages / cran.scm

diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 447be56..aa58efc 100644 (file)
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -5411,3 +5411,77 @@ maximum cycle number.  The @code{r-abcoptim} implements the Artificial bee
 colony optimization algorithm @url{http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf}.
   This version is a work-in-progress and is written in R code.")
     (license license:expat)))
+
+(define-public r-abcp2
+  (package
+    (name "r-abcp2")
+    (version "1.2")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "ABCp2" version))
+       (sha256
+        (base32 "1s2skkxpzss7c29i8600psgrp0hl46jcrxqrmy2b4db8hc0kcnbx"))))
+    (properties `((upstream-name . "ABCp2")))
+    (build-system r-build-system)
+    (propagated-inputs `(("r-mass" ,r-mass)))
+    (home-page "https://cran.r-project.org/web/packages/ABCp2/")
+    (synopsis "Approximate Bayesian Computational Model for Estimating P2")
+    (description
+     "This package tests the goodness of fit of a distribution of offspring to the Normal,
+Poisson, and Gamma distribution and estimates the proportional paternity of the
+second male (P2) based on the best fit distribution.")
+    (license license:gpl2)))
+
+(define-public r-abcrf
+  (package
+    (name "r-abcrf")
+    (version "1.7.1")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "abcrf" version))
+       (sha256
+        (base32 "06vy3inikrr9hv36q4djhrgzi9zizdfnhz17wpra8kadmr7qj441"))))
+    (build-system r-build-system)
+    (propagated-inputs
+     `(("r-mass" ,r-mass)
+       ("r-matrixstats" ,r-matrixstats)
+       ("r-ranger" ,r-ranger)
+       ("r-rcpp" ,r-rcpp)
+       ("r-rcpparmadillo" ,r-rcpparmadillo)
+       ("r-readr" ,r-readr)
+       ("r-stringr" ,r-stringr)))
+    (home-page "https://cran.r-project.org/web/packages/abcrf/")
+    (synopsis "Approximate bayesian computation via random forests")
+    (description
+     "This package performs approximate bayesian computation (ABC) model choice and
+parameter inference via random forests.  This machine learning tool named random
+forests (RF) can conduct selection among the highly complex models covered by
+ABC algorithms.")
+    (license license:gpl2+)))
+
+(define-public r-abctools
+  (package
+    (name "r-abctools")
+    (version "1.1.3")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "abctools" version))
+       (sha256
+        (base32 "07s9dg10i8lsxl73b4n2hynca2fjgb0ykb0dz8c3zv6cgw3cyx97"))))
+    (build-system r-build-system)
+    (propagated-inputs
+     `(("r-abc" ,r-abc)
+       ("r-abind" ,r-abind)
+       ("r-hmisc" ,r-hmisc)
+       ("r-plyr" ,r-plyr)))
+    (home-page "https://github.com/dennisprangle/abctools/")
+    (synopsis "Tools for ABC analyses")
+    (description
+     "This @code{r-abctools} package provides tools for approximate Bayesian computation
+including summary statistic selection and assessing coverage.  This includes
+recent dimension reduction algorithms to tune the choice of summary statistics,
+and coverage methods to tune the choice of threshold.")
+    (license license:gpl2+)))