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-rw-r--r--gnu/packages/cran.scm150
1 files changed, 145 insertions, 5 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index 975884e881..b71906a8f5 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -13,6 +13,7 @@
;;; Copyright © 2018 Laura Lazzati <laura.lazzati.15@gmail.com>
;;; Copyright © 2018 Leo Famulari <leo@famulari.name>
;;; Copyright © 2018 Marius Bakke <mbakke@fastmail.com>
+;;; Copyright © 2018 Brett Gilio <brettg@posteo.net>
;;;
;;; This file is part of GNU Guix.
;;;
@@ -2251,14 +2252,14 @@ available in a vignette.")
(define-public r-lava
(package
(name "r-lava")
- (version "1.6.4")
+ (version "1.6.5")
(source
(origin
(method url-fetch)
(uri (cran-uri "lava" version))
(sha256
(base32
- "0627cjlg55kzbzcy82w6wykmw2i57qhgfcabn2zy3ydfdswyxij1"))))
+ "13rlqdg42ylnz4hc932bl50xismrcr4d9ykcd9zs19cw5mckjx0f"))))
(build-system r-build-system)
(propagated-inputs
`(("r-numderiv" ,r-numderiv)
@@ -6589,19 +6590,19 @@ used to teach mathematics, statistics, computation and modeling.")
(define-public r-raster
(package
(name "r-raster")
- (version "2.8-4")
+ (version "2.8-19")
(source
(origin
(method url-fetch)
(uri (cran-uri "raster" version))
(sha256
(base32
- "14pcfznxm5kdwd908axkr9v1l0hzxlrwd8kwrz0liqnfh9cx5rsa"))))
+ "1lmhf7p7is8ai7lv7zsj2rdzf83j7ccl4x7a9vwxxa824zy4bkf4"))))
(build-system r-build-system)
(propagated-inputs
`(("r-rcpp" ,r-rcpp)
("r-sp" ,r-sp)))
- (home-page "http://www.rspatial.org/")
+ (home-page "https://www.rspatial.org/")
(synopsis "Geographic data analysis and modeling")
(description
"The package implements basic and high-level functions for reading,
@@ -10511,3 +10512,142 @@ tempering (function @code{temper}), and morphometric random walk
Metropolis (function @code{morph.metrop}), which achieves geometric ergodicity
by change of variable.")
(license license:expat)))
+
+(define-public r-listenv
+ (package
+ (name "r-listenv")
+ (version "0.7.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "listenv" version))
+ (sha256
+ (base32
+ "0ma5jsri2zqkrlsm9nqpikl7imbwfy1glsmk13mblw0q245h49k1"))))
+ (build-system r-build-system)
+ (native-inputs
+ `(("r-r-rsp" ,r-r-rsp))) ; vignette builder
+ (home-page "https://github.com/HenrikBengtsson/listenv")
+ (synopsis "Environments behaving (almost) as lists")
+ (description
+ "This package implements list environments. List environments are
+environments that have list-like properties. For instance, the elements of a
+list environment are ordered and can be accessed and iterated over using index
+subsetting.")
+ (license license:lgpl2.1+)))
+
+(define-public r-globals
+ (package
+ (name "r-globals")
+ (version "0.12.4")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "globals" version))
+ (sha256
+ (base32
+ "0szyv1ayyk31bh3xqlkj43020w44xq6s4rw2bxwizyjssxm3b1br"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-codetools" ,r-codetools)))
+ (home-page "https://github.com/HenrikBengtsson/globals")
+ (synopsis "Identify global objects in R expressions")
+ (description
+ "This package provides tools to identify global (\"unknown\" or \"free\")
+objects in R expressions by code inspection using various strategies, e.g.
+conservative or liberal. The objective of this package is to make it as
+simple as possible to identify global objects for the purpose of exporting
+them in distributed compute environments.")
+ (license license:lgpl2.1+)))
+
+(define-public r-future
+ (package
+ (name "r-future")
+ (version "1.11.1.1")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "future" version))
+ (sha256
+ (base32
+ "1s4lyqg4mm1drzc6czaalmhmxfjgp4nznb14ql5xzny9rprgz43i"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-digest" ,r-digest)
+ ("r-globals" ,r-globals)
+ ("r-listenv" ,r-listenv)))
+ (native-inputs
+ `(("r-r-rsp" ,r-r-rsp))) ; vignette builder
+ (home-page "https://github.com/HenrikBengtsson/future")
+ (synopsis "Unified parallel and distributed processing in R")
+ (description
+ "The purpose of this package is to provide a lightweight and unified
+Future API for sequential and parallel processing of R expression via futures.
+This package implements sequential, multicore, multisession, and cluster
+futures. With these, R expressions can be evaluated on the local machine, in
+parallel a set of local machines, or distributed on a mix of local and remote
+machines. Extensions to this package implement additional backends for
+processing futures via compute cluster schedulers etc. Because of its unified
+API, there is no need to modify any code in order to switch from sequential on
+the local machine to, say, distributed processing on a remote compute cluster.")
+ (license license:lgpl2.1+)))
+
+(define-public r-future-apply
+ (package
+ (name "r-future-apply")
+ (version "1.1.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "future.apply" version))
+ (sha256
+ (base32
+ "0b6v9rxvnnz13sydbgkapw71hx98fwdczjchgqnspjmq2340kdc0"))))
+ (properties `((upstream-name . "future.apply")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-future" ,r-future)
+ ("r-globals" ,r-globals)))
+ (native-inputs
+ `(("r-r-rsp" ,r-r-rsp))) ; vignette builder
+ (home-page "https://github.com/HenrikBengtsson/future.apply")
+ (synopsis "Apply function to elements in parallel using futures")
+ (description
+ "This package provides implementations of @code{apply()},
+@code{eapply()}, @code{lapply()}, @code{Map()}, @code{mapply()},
+@code{replicate()}, @code{sapply()}, @code{tapply()}, and @code{vapply()} that
+can be resolved using any future-supported backend, e.g. parallel on the local
+machine or distributed on a compute cluster.")
+ (license license:gpl2+)))
+
+(define-public r-rsvd
+ (package
+ (name "r-rsvd")
+ (version "1.0.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "rsvd" version))
+ (sha256
+ (base32
+ "0vjhrvnkl9rmvl8sv2kac5sd10z3fgxymb676ynxzc2pmhydy3an"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-matrix" ,r-matrix)))
+ (home-page "https://github.com/erichson/rSVD")
+ (synopsis "Randomized singular value decomposition")
+ (description
+ "Low-rank matrix decompositions are fundamental tools and widely used for
+data analysis, dimension reduction, and data compression. Classically, highly
+accurate deterministic matrix algorithms are used for this task. However, the
+emergence of large-scale data has severely challenged our computational
+ability to analyze big data. The concept of randomness has been demonstrated
+as an effective strategy to quickly produce approximate answers to familiar
+problems such as the @dfn{singular value decomposition} (SVD). This package
+provides several randomized matrix algorithms such as the randomized singular
+value decomposition (@code{rsvd}), randomized principal component
+analysis (@code{rpca}), randomized robust principal component
+analysis (@code{rrpca}), randomized interpolative decomposition (@code{rid}),
+and the randomized CUR decomposition (@code{rcur}). In addition several plot
+functions are provided.")
+ (license license:gpl3+)))