;;; Copyright © 2015 Andreas Enge <andreas@enge.fr>
;;; Copyright © 2015, 2016 Pjotr Prins <pjotr.guix@thebird.nl>
;;; Copyright © 2016, 2017 Ben Woodcroft <donttrustben@gmail.com>
-;;; Copyright © 2016, 2017, 2018, 2020 Roel Janssen <roel@gnu.org>
+;;; Copyright © 2016, 2017, 2018, 2020, 2021 Roel Janssen <roel@gnu.org>
;;; Copyright © 2017, 2018, 2019, 2020 Tobias Geerinckx-Rice <me@tobias.gr>
;;; Copyright © 2017 Raoul Bonnal <ilpuccio.febo@gmail.com>
;;; Copyright © 2018 Vijayalakshmi Vedantham <vijimay12@gmail.com>
into a pipeline of data manipulation and visualisation.")
(license license:gpl3)))
+(define-public r-hmm
+ (package
+ (name "r-hmm")
+ (version "1.0")
+ (source (origin
+ (method url-fetch)
+ (uri (cran-uri "HMM" version))
+ (sha256
+ (base32
+ "0z0hcqfixx1l2a6d3lpy5hmh0n4gjgs0jnck441akpp3vh37glzw"))))
+ (properties `((upstream-name . "HMM")))
+ (build-system r-build-system)
+ (home-page "https://cran.r-project.org/web/packages/HMM/")
+ (synopsis "Hidden Markov Models")
+ (description "This package provides an easy to use library to setup, apply
+and make inference with discrete time and discrete space hidden Markov
+models.")
+ (license license:gpl2+)))
+
(define-public r-httpuv
(package
(name "r-httpuv")
`((upstream-name . "PhysicalActivity")))
(build-system r-build-system)
(home-page "https://cran.r-project.org/web/packages/PhysicalActivity/")
- (synopsis "Procesing accelerometer data for physical activity measurement")
+ (synopsis "Processing accelerometer data for physical activity measurement")
(description
"This @code{r-physicalactivity} package provides a function @code{wearingMarking}
-for classification of monitor wear and nonwear time intervals in accelerometer
+for classification of monitored wear and nonwear time intervals in accelerometer
data collected to assess physical activity. The package also contains functions
for making plots of accelerometer data and obtaining the summary of various
information including daily monitor wear time and the mean monitor wear time
(description
"The aim of the ggplot2 package is to aid in visual data investigations.
This focus has led to a lack of facilities for composing specialized plots.
-Thi package aims to be a collection of mainly new statistics and geometries
+This package aims to be a collection of mainly new statistics and geometries
that fills this gap.")
(license license:expat)))
(define-public r-altmeta
(package
(name "r-altmeta")
- (version "3.2")
+ (version "3.3")
(source
(origin
(method url-fetch)
(uri (cran-uri "altmeta" version))
(sha256
(base32
- "0z252lbsknqp33i0b0xf5r7spr535iq47bv40vgip6nsqhgrl7b0"))))
+ "1xq12hnzxh7kgv2i36xprg4lkvqfmxwz3sq4a1jlq2d5g3narvcm"))))
(properties `((upstream-name . "altmeta")))
(build-system r-build-system)
(propagated-inputs
(define-public r-qtl
(package
(name "r-qtl")
- (version "1.47-9")
+ (version "1.48-1")
(source
(origin
(method url-fetch)
(uri (cran-uri "qtl" version))
(sha256
(base32
- "0hffirsvw9j82cdx6l7vhqn3a7ab52claqjlinv3lswl1nsfg93b"))))
+ "098mgmfj8ndi8yipr9b3f6gbbh78cgp9j7y561nlnhrnyc8bsih9"))))
(build-system r-build-system)
(home-page "https://rqtl.org/")
(synopsis "R package for analyzing QTL experiments in genetics")
(define-public r-phangorn
(package
(name "r-phangorn")
- (version "2.5.5")
+ (version "2.6.3")
(source
(origin
(method url-fetch)
(uri (cran-uri "phangorn" version))
(sha256
(base32
- "0ihkaykqjmf80d8wrk3saphxvnv58zma6pd13633bd3cwanc33f5"))))
+ "08yqz8qlw960x4b52wzrm22f242xnpc8695pjkhy7bi1nzm303ga"))))
(build-system r-build-system)
(propagated-inputs
`(("r-ape" ,r-ape)
("r-matrix" ,r-matrix)
("r-quadprog" ,r-quadprog)
("r-rcpp" ,r-rcpp)))
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
(home-page "https://github.com/KlausVigo/phangorn")
(synopsis "Phylogenetic analysis in R")
(description
(define-public r-mlr3misc
(package
(name "r-mlr3misc")
- (version "0.7.0")
+ (version "0.8.0")
(source (origin
(method url-fetch)
(uri (cran-uri "mlr3misc" version))
(sha256
(base32
- "19k3l2d6wnqvdng0m7p54rrlvwl5457lcy7bg82m2bbpqxi8qch3"))))
+ "0mzicqs8rhzppyd7v3ljqs35k8pp7p2jg5cs7hx21mxr831bwsys"))))
(build-system r-build-system)
(propagated-inputs
`(("r-backports" ,r-backports)
(define-public r-mlr3learners
(package
(name "r-mlr3learners")
- (version "0.4.3")
+ (version "0.4.5")
(source (origin
(method url-fetch)
(uri (cran-uri "mlr3learners" version))
(sha256
(base32
- "1wxlpzz3hpkn77n4ag1v868dmp140j1pmrhynsv5xfgk9fg0w7ri"))))
+ "02v4y32yn1m0akkqzhfg65ib21rgy9iz8db4kdcrvi949clkxnfk"))))
(build-system r-build-system)
(propagated-inputs
`(("r-data-table" ,r-data-table)
(define-public r-bbotk
(package
(name "r-bbotk")
- (version "0.3.1")
+ (version "0.3.2")
(source
(origin
(method url-fetch)
(uri (cran-uri "bbotk" version))
(sha256
(base32
- "1f29wxnxr73c4yp5afk05jqggpm7k1z8wiak8xsyw68h7xflq550"))))
+ "0bd9nxfgsj4ixpgky1mj6knb8l8nivvxpqpyw8vgpkj0za7gp4gr"))))
(properties `((upstream-name . "bbotk")))
(build-system r-build-system)
(propagated-inputs
(define-public r-textshaping
(package
(name "r-textshaping")
- (version "0.3.2")
+ (version "0.3.3")
(source
(origin
(method url-fetch)
(uri (cran-uri "textshaping" version))
(sha256
(base32
- "0fqh4z505b2qriqcj70g2hhdgiawd3w2rs9rqxdwizz5vk8jjygx"))))
+ "0yl3cv6r8k27h4lzbrsikjydhz94skdjmxx4zqzihvb7h3jfnlpn"))))
(properties `((upstream-name . "textshaping")))
(build-system r-build-system)
(inputs
(define-public r-ragg
(package
(name "r-ragg")
- (version "1.1.1")
+ (version "1.1.2")
(source
(origin
(method url-fetch)
(uri (cran-uri "ragg" version))
(sha256
(base32
- "0nh1xxrxgdbq9anzkc6k3n519czp9hqyiizakm3m2gl4l4w0vp0q"))))
+ "0q28bwjdxpxm1wlkd8sxdf1m1q8wp4mmzp83d3m09nyy90ydkd8w"))))
(properties `((upstream-name . "ragg")))
(build-system r-build-system)
(inputs
(define-public r-lwgeom
(package
(name "r-lwgeom")
- (version "0.2-5")
+ (version "0.2-6")
(source
- (origin
- (method url-fetch)
- (uri (cran-uri "lwgeom" version))
- (sha256
- (base32
- "0byhjqa2acns8mznl1ngnfygxxxyszvnq66qfg0smhhhdkwr67aa"))))
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "lwgeom" version))
+ (sha256
+ (base32
+ "1733iwinn426bcmgjxp4j0scvbz35rvqkanmw7g7f47l6j7w14vn"))))
(properties `((upstream-name . "lwgeom")))
(build-system r-build-system)
- (inputs `(("geos" ,geos) ("proj" ,proj) ("sqlite" ,sqlite)))
+ (inputs
+ `(("geos" ,geos)
+ ("proj" ,proj)
+ ("sqlite" ,sqlite)
+ ("zlib" ,zlib)))
(propagated-inputs
- `(("r-rcpp" ,r-rcpp)
- ("r-sf" ,r-sf)
- ("r-units" ,r-units)))
+ `(("r-rcpp" ,r-rcpp)
+ ("r-sf" ,r-sf)
+ ("r-units" ,r-units)))
(native-inputs `(("pkg-config" ,pkg-config)))
- (home-page
- "https://github.com/r-spatial/lwgeom/")
- (synopsis
- "Bindings to Selected 'liblwgeom' Functions for Simple Features")
+ (home-page "https://github.com/r-spatial/lwgeom/")
+ (synopsis "Bindings to Selected 'liblwgeom' Functions for Simple Features")
(description
- "Access to selected functions found in
+ "Access to selected functions found in
@url{https://github.com/postgis/postgis/tree/master/liblwgeom,liblwgeom}, the
light-weight geometry library used by @url{http://postgis.net/,PostGIS}.")
(license license:gpl2)))
(define-public r-stars
(package
(name "r-stars")
- (version "0.5-1")
+ (version "0.5-2")
(source
(origin
(method url-fetch)
(uri (cran-uri "stars" version))
(sha256
(base32
- "0ybk899rc0rpf2cv5kwk78fvis5xnr255hfcy5khdxsxdqgl0m9j"))))
+ "0w2svw02ywvclq0nsnjns1n0rfr54q7x30y64y14n7zfr969ly1n"))))
(properties `((upstream-name . "stars")))
(build-system r-build-system)
(propagated-inputs
differential expression analysis, RNAseq data and related problems.")
;; Any version of the LGPL
(license license:lgpl3+)))
+
+(define-public r-randomforestsrc
+ (package
+ (name "r-randomforestsrc")
+ (version "2.9.3")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "randomForestSRC" version))
+ (sha256
+ (base32
+ "05ifvj49jv0n5p6k46milpgj9r10sc5aw23fypyyibdgwpwvwixw"))))
+ (properties
+ `((upstream-name . "randomForestSRC")))
+ (build-system r-build-system)
+ (home-page "https://cran.r-project.org/web/packages/randomForestSRC/")
+ (synopsis "Random forests for survival, regression, and classification")
+ (description
+ "This package implements fast OpenMP parallel computing of Breiman's
+random forests for survival, competing risks, regression and classification
+based on Ishwaran and Kogalur's popular random survival forests (RSF) package.
+It handles missing data and now includes multivariate, unsupervised forests,
+quantile regression and solutions for class imbalanced data. It provides a
+fast interface using subsampling and confidence regions for variable
+importance.")
+ (license license:gpl3+)))