(define-public r-ape
(package
(name "r-ape")
- (version "5.4")
+ (version "5.4-1")
(source
(origin
(method url-fetch)
(uri (cran-uri "ape" version))
(sha256
(base32
- "0f74x9vx9sxpns2hlq4w2x80cd2gw42isfgncvs9pqbjf4hiyqnr"))))
+ "1r7fwyz30ippcl1ibqiv1xryf44x5crcks5kx19h146ffj76qcgh"))))
(build-system r-build-system)
(propagated-inputs
`(("r-lattice" ,r-lattice)
(define-public r-jomo
(package
(name "r-jomo")
- (version "2.7-1")
+ (version "2.7-2")
(source
(origin
(method url-fetch)
(uri (cran-uri "jomo" version))
(sha256
(base32
- "0cdy9m4ylarkk9d0v1s61k2d877l4bbxly8a4jwhfy43fdvskz1w"))))
+ "1sbcpacxnxbzwa8rr9x2bq7hh0s3sw6yznr90dkp43n6xk5xaqir"))))
(build-system r-build-system)
(propagated-inputs
`(("r-lme4" ,r-lme4)
(define-public r-hardyweinberg
(package
(name "r-hardyweinberg")
- (version "1.6.3")
+ (version "1.6.6")
(source
(origin
(method url-fetch)
(uri (cran-uri "HardyWeinberg" version))
(sha256
(base32
- "1irz44q6nf95h37av868f47aakwv3jgwgw217xfsfw0afkm7s25f"))))
+ "1qn1bbzfk4w3mqrzisshw5xx7x249sgmj6qdi39lkqb58a4mf4kh"))))
(properties `((upstream-name . "HardyWeinberg")))
(build-system r-build-system)
(propagated-inputs
(define-public r-hdf5r
(package
(name "r-hdf5r")
- (version "1.3.2")
+ (version "1.3.3")
(source
(origin
(method url-fetch)
(uri (cran-uri "hdf5r" version))
(sha256
(base32
- "0c2p06k9bp9rf0fyavnxw5d8jr2bbgx3gjblahz581cpvsfksj9i"))))
+ "0i8m4yjxggrs05slq2afvz2ckl1yc9wq7gd1s7dq2gjn46zkry50"))))
(build-system r-build-system)
(inputs
`(("hdf5" ,hdf5)
(define-public r-abjutils
(package
(name "r-abjutils")
- (version "0.2.3")
+ (version "0.3.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "abjutils" version))
(sha256
- (base32 "0n4zps65y3zg0gfzlv97w91si52a9izkncirskbkj5x9hk0nhxcv"))))
+ (base32 "18mmlkqsrjfclk8islfjdsp8sbw6dpjj5x45kqilxdiss69gg5zd"))))
(build-system r-build-system)
(propagated-inputs
- `(("r-devtools" ,r-devtools)
- ("r-dplyr" ,r-dplyr)
- ("r-furrr" ,r-furrr)
- ("r-future" ,r-future)
- ("r-glue" ,r-glue)
- ("r-httr" ,r-httr)
+ `(("r-dplyr" ,r-dplyr)
("r-magrittr" ,r-magrittr)
- ("r-progress" ,r-progress)
("r-purrr" ,r-purrr)
- ("r-readr" ,r-readr)
("r-rlang" ,r-rlang)
("r-rstudioapi" ,r-rstudioapi)
- ("r-scales" ,r-scales)
("r-stringi" ,r-stringi)
("r-stringr" ,r-stringr)
- ("r-tibble" ,r-tibble)
("r-tidyr" ,r-tidyr)))
(home-page "https://github.com/abjur/abjutils/")
(synopsis "Collection of tools for jurimetrical analysis")
(define-public r-emmeans
(package
(name "r-emmeans")
- (version "1.4.8")
+ (version "1.5.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "emmeans" version))
(sha256
(base32
- "0h884qn4cip03w0h5psrz5y9zkm2wppklrhdz2chm2xk13zqnq5k"))))
+ "09nap4aazpbsswqzk0d4kjngwd8sib222s31yd08sd1sqw432c6k"))))
(build-system r-build-system)
(propagated-inputs
`(("r-estimability" ,r-estimability)
(define-public r-libcoin
(package
(name "r-libcoin")
- (version "1.0-5")
+ (version "1.0-6")
(source
(origin
(method url-fetch)
(uri (cran-uri "libcoin" version))
(sha256
- (base32
- "1cm9x1dlg9f7fh7n5nw3x4a7rl88c7ylrlc8x3rx4mq5w1j42x0a"))))
+ (base32 "0njfdbz4mkyasxm80p0fb0qibvzz7kdzddn8ybj2k6y8bx0w3bs8"))))
(build-system r-build-system)
(propagated-inputs `(("r-mvtnorm" ,r-mvtnorm)))
(home-page "https://cran.r-project.org/web/packages/libcoin")
"0aqy4bfjq1fmds0vpacsmqih528cp8wk4v4w0balzkph6zqzpwcl"))))
(build-system r-build-system)
(inputs
- `(("pandoc" ,ghc-pandoc)
- ("pandoc-citeproc" ,ghc-pandoc-citeproc)))
+ `(("pandoc" ,pandoc)
+ ("pandoc-citeproc" ,pandoc-citeproc)))
(native-inputs
`(("r-knitr" ,r-knitr)))
(propagated-inputs
("libpng" ,libpng)
("glu" ,glu)
("libx11" ,libx11)
- ("ghc-pandoc" ,ghc-pandoc)
+ ("pandoc" ,pandoc)
("zlib" ,zlib)))
(propagated-inputs
`(("r-crosstalk" ,r-crosstalk)
(define-public r-assertive-datetimes
(package
(name "r-assertive-datetimes")
- (version "0.0-2")
+ (version "0.0-3")
(source
(origin
(method url-fetch)
(uri (cran-uri "assertive.datetimes" version))
(sha256
(base32
- "00a98fx8p3pr3ckayh8wmxmm4rz01s67wah9697m92yci6pv3m78"))))
+ "151d05z8n6dpl44pqsa1jfi0ijbigr3zfc43xlw53nd8ymi22kh1"))))
(properties
`((upstream-name . "assertive.datetimes")))
(build-system r-build-system)
(define-public r-assertive
(package
(name "r-assertive")
- (version "0.3-5")
+ (version "0.3-6")
(source
(origin
(method url-fetch)
(uri (cran-uri "assertive" version))
(sha256
(base32
- "0blbbhlxcb5ffdxqxi62xs33ljiawh6s22a0pyvbbh79jf46rzr3"))))
+ "02palil82idqhhshcdjsfsja9qkqnd0dczqzj5gbccy4hfg1c0y4"))))
(build-system r-build-system)
(propagated-inputs
`(("r-assertive-base" ,r-assertive-base)
("r-assertive-strings" ,r-assertive-strings)
("r-assertive-types" ,r-assertive-types)
("r-knitr" ,r-knitr)))
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
(home-page "https://bitbucket.org/richierocks/assertive")
(synopsis "Readable check functions to ensure code integrity")
(description
(define-public r-epi
(package
(name "r-epi")
- (version "2.40")
+ (version "2.41")
(source
(origin
(method url-fetch)
(uri (cran-uri "Epi" version))
(sha256
(base32
- "046y10vwks5y84pzccmrn6d4pd6qz70imvp1hw5ywp8fnwzfh4g5"))))
+ "09miba6zk63bwc79n3030kgzlvy3whkq968pgqyghxnsjfh5ckp5"))))
(properties `((upstream-name . "Epi")))
(build-system r-build-system)
(propagated-inputs
(define-public r-compositions
(package
(name "r-compositions")
- (version "1.40-5")
+ (version "2.0-0")
(source
(origin
(method url-fetch)
(uri (cran-uri "compositions" version))
(sha256
(base32
- "0l9ayz2nb2wqhl7v9hkfl7pd950ba0h6hma8zqncbcxh6xh2k7l7"))))
+ "0xsx4n699q2r4pk2jrvifi3wi49lih7d1j3j6qgqqd31brg53jqr"))))
(build-system r-build-system)
(propagated-inputs
`(("r-bayesm" ,r-bayesm)
+ ("r-mass" ,r-mass)
("r-robustbase" ,r-robustbase)
("r-tensora" ,r-tensora)))
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
(home-page "http://www.stat.boogaart.de/compositions")
(synopsis "Compositional data analysis")
(description
(define-public r-lavaan
(package
(name "r-lavaan")
- (version "0.6-6")
+ (version "0.6-7")
(source
(origin
(method url-fetch)
(uri (cran-uri "lavaan" version))
(sha256
(base32
- "0sfv58r2kxinax62bx6j3kkfx07qm16ddwf5qz392q33h9zs009h"))))
+ "0ks62wrwghbm1brzmqvr92h5n1295dpc87m1g3xrfx0mkdaqdcdk"))))
(build-system r-build-system)
(propagated-inputs
`(("r-mass" ,r-mass)
(define-public r-irkernel
(package
(name "r-irkernel")
- (version "1.1")
+ (version "1.1.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "IRkernel" version))
(sha256
(base32
- "1viqxs91dys1z4cf7gb59rmqvzb8lc7jdp4azrpmhgwa8qf46s94"))))
+ "1y06v3difaiihxfm2abm88nnjzvkla4p346cm1nxmga4iwb2k8gm"))))
(properties `((upstream-name . "IRkernel")))
(build-system r-build-system)
(arguments
(define-public r-deldir
(package
(name "r-deldir")
- (version "0.1-25")
+ (version "0.1-28")
(source
(origin
(method url-fetch)
(uri (cran-uri "deldir" version))
(sha256
(base32
- "0kdglv8rc1pb4ilcid4xc9wpv5kkj2y6x6wg7919k3hya7mz58ph"))))
+ "12ys8jdcrgzhf9m2yirlqfars397qb0q0pbypahmfa66lgr6wdx5"))))
(build-system r-build-system)
(native-inputs `(("gfortran" ,gfortran)))
(home-page "https://cran.r-project.org/web/packages/deldir")
(define-public r-sf
(package
(name "r-sf")
- (version "0.9-4")
+ (version "0.9-5")
(source
(origin
(method url-fetch)
(uri (cran-uri "sf" version))
(sha256
(base32
- "1xgmnz01pxvpg2ins1h65mlcrafqihlljcjlag8spq9ii7d5i7mx"))))
+ "0c58asqrvz1pkdkb0lkzwz8cwb43pmxd39z0jp217hk7p7q3ngwf"))))
(build-system r-build-system)
(inputs
`(("gdal" ,gdal)
(define-public r-rms
(package
(name "r-rms")
- (version "6.0-0")
+ (version "6.0-1")
(source
(origin
(method url-fetch)
(uri (cran-uri "rms" version))
(sha256
- (base32 "0m88m63d19qz03x8v56h4rrblln3d2943spi1v4wxxnbcdk22np9"))))
+ (base32 "1zkcsqcvldfj4kyn0346vi51igq951qrnpxlv2pfvap6n2v5wbxq"))))
(build-system r-build-system)
(propagated-inputs
`(("r-cluster" ,r-cluster)
generalized linear models, and quantile regression.")
(license license:gpl2+)))
+(define-public r-arsenal
+ (package
+ (name "r-arsenal")
+ (version "3.5.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "arsenal" version))
+ (sha256
+ (base32
+ "0avi434wkk3w7axd89a4jwsbb11fi0239mkkla6zasnjwbqgjim0"))))
+ (properties `((upstream-name . "arsenal")))
+ (build-system r-build-system)
+ (propagated-inputs `(("r-knitr" ,r-knitr)))
+ (native-inputs `(("r-knitr" ,r-knitr)))
+ (home-page "https://github.com/mayoverse/arsenal")
+ (synopsis "Functions for large-scale statistical summaries")
+ (description
+ "This package provides an arsenal of R functions for large-scale
+statistical summaries, which are streamlined to work within the latest
+reporting tools in R and RStudio and which use formulas and versatile
+summary statistics for summary tables and models. The primary functions
+include
+
+@enumerate
+@item @code{tableby}, a Table-1-like summary of multiple variable types by the
+ levels of one or more categorical variables;
+@item @code{paired}, a Table-1-like summary of multiple variable types paired
+ across two time points;
+@item @code{modelsum}, which performs simple model fits on one or more
+ endpoints for many variables (univariate or adjusted for covariates);
+@item @code{freqlist}, a powerful frequency table across many categorical
+ variables;
+@item @code{comparedf}, a function for comparing @code{data.frames}; and
+@item @code{write2}, a function to output tables to a document.
+@end enumerate
+")
+ (license license:gpl2+)))
+
(define-public r-haplo-stats
(package
(name "r-haplo-stats")
- (version "1.7.9")
+ (version "1.8.2")
(source
(origin
(method url-fetch)
(uri (cran-uri "haplo.stats" version))
(sha256
(base32
- "19kxascqq5qz0zdxx0w837ji207y1z2ggxkl4vmlbay03k2dw2mx"))))
+ "13gc980jk1pas7mz9b4nmwqd64qhh2c0xhq1z06z67jgv7k8n7dc"))))
(properties `((upstream-name . "haplo.stats")))
(build-system r-build-system)
(propagated-inputs
- `(("r-rms" ,r-rms)))
+ `(("r-arsenal" ,r-arsenal)
+ ("r-rms" ,r-rms)))
(native-inputs
`(("r-r-rsp" ,r-r-rsp))) ; for vignettes
(home-page "https://www.mayo.edu/research/labs/statistical-genetics-genetic-epidemiology/software")
(define-public r-ibdreg
(package
(name "r-ibdreg")
- (version "0.2.5")
+ (version "0.3.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "ibdreg" version))
(sha256
(base32
- "1kaa5q1byi30wzr0mw4w2cv1ssxprzcwf91wrpqwkgcsdy7dkh2g"))))
+ "0kgx9iavgm6d6njhki7bm82d6lw2c7kcch2pryd339js2hm0l5gq"))))
(build-system r-build-system)
(home-page "https://www.mayo.edu/research/labs/\
statistical-genetics-genetic-epidemiology/software")
("r-rmarkdown" ,r-rmarkdown)
("r-tinytex" ,r-tinytex)
("r-xfun" ,r-xfun)
- ("pandoc" ,ghc-pandoc)))
+ ("pandoc" ,pandoc)))
(home-page "https://github.com/rstudio/bookdown")
(synopsis "Authoring books and technical documents with R markdown")
(description "This package provides output formats and utilities for
(define-public r-hierfstat
(package
(name "r-hierfstat")
- (version "0.04-22")
+ (version "0.5-7")
(source
(origin
(method url-fetch)
(uri (cran-uri "hierfstat" version))
(sha256
(base32
- "1fav2v2996v5kb1ffa6v5wxfm921syxg6as034vd3j4jfhdibyfx"))))
+ "0dp8k1z5a8gqnax99y1hwfvxilzf4n2i751zr0z6ihrzirsvb3m3"))))
(build-system r-build-system)
(propagated-inputs
`(("r-ade4" ,r-ade4)
("r-adegenet" ,r-adegenet)
+ ("r-gaston" ,r-gaston)
("r-gtools" ,r-gtools)))
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
(home-page "https://cran.r-project.org/web/packages/hierfstat/")
(synopsis "Estimation and tests of hierarchical F-statistics")
(description
(define-public r-gbm
(package
(name "r-gbm")
- (version "2.1.5")
+ (version "2.1.8")
(source
(origin
(method url-fetch)
(uri (cran-uri "gbm" version))
(sha256
(base32
- "0vs6ljaqhwwpgr8wlbhmm4v147rd82kl16rpaijqiylxcc8dxyq6"))))
+ "1h9f4ww9yc3nsvghgr2q7jjrlz29ibabxjbax1sk5wmqh2wy6pbx"))))
(build-system r-build-system)
(propagated-inputs
- `(("r-gridextra" ,r-gridextra)
- ("r-lattice" ,r-lattice)
+ `(("r-lattice" ,r-lattice)
("r-survival" ,r-survival)))
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
(home-page "https://github.com/gbm-developers/gbm")
(synopsis "Generalized boosted regression models")
(description
(define-public r-ingredients
(package
(name "r-ingredients")
- (version "1.3.0")
+ (version "1.3.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "ingredients" version))
(sha256
(base32
- "1mp1rgi3nnr8mjddpbyi24zvqcbihz0d8np2j13cbjc089n6jci8"))))
+ "0l0dqrm9am6wk8jcf8cdhc6xnrna9cqr5wz6lsnczq2gf6ybhjg1"))))
(properties `((upstream-name . "ingredients")))
(build-system r-build-system)
(propagated-inputs
(define-public r-ibreakdown
(package
(name "r-ibreakdown")
- (version "1.2.0")
+ (version "1.3.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "iBreakDown" version))
(sha256
(base32
- "0y4zjpyn8j76jrs5phjzs5lfq3lqjspmrwcksqv9wq0rbdgh14vk"))))
+ "1bfl5bh0x6z5a0cmdmx68sap9zdxa3kwdnyk57csxapc362yz108"))))
(properties `((upstream-name . "iBreakDown")))
(build-system r-build-system)
(propagated-inputs `(("r-ggplot2" ,r-ggplot2)))
(define-public r-dalex
(package
(name "r-dalex")
- (version "1.3.0")
+ (version "1.3.1.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "DALEX" version))
(sha256
(base32
- "1azbnykaddsfp2qmxmhpjz76zg78msxv6n2jqkq4gwbgqa5vdfd2"))))
+ "0akw1yzhb3shpg6yb89vralqd2z80z5yk9azqaa55dx56as52kjs"))))
(properties `((upstream-name . "DALEX")))
(build-system r-build-system)
(propagated-inputs
(define-public r-parameters
(package
(name "r-parameters")
- (version "0.8.0")
+ (version "0.8.2")
(source
(origin
(method url-fetch)
(uri (cran-uri "parameters" version))
(sha256
(base32
- "1cmb2hc6f4qdx9aj586zhllckzs6s5sznbqrywvgmhp6a2saaqax"))))
+ "0kamszscywvdh4gikl5mmma7s5p7spmhirq3wrgf7x7f4gppbbmh"))))
(properties `((upstream-name . "parameters")))
(build-system r-build-system)
(propagated-inputs
(define-public r-rgdal
(package
(name "r-rgdal")
- (version "1.5-12")
+ (version "1.5-16")
(source
(origin
(method url-fetch)
(uri (cran-uri "rgdal" version))
(sha256
- (base32 "0jvb5ykp539mi0hqs05w4w8wz45blc4nvkhs70aqmzyx27hadfiq"))))
+ (base32 "0rwlsafqxgqflfid4ciaa9qz3f75fgw8hilhaqj558gdxg8bzigp"))))
(properties `((upstream-name . "rgdal")))
(build-system r-build-system)
(inputs
(define-public r-showtext
(package
(name "r-showtext")
- (version "0.8-1")
+ (version "0.9")
(source
(origin
(method url-fetch)
(uri (cran-uri "showtext" version))
(sha256
(base32
- "1n1cd9f4zrv45k5953akclqh1jh7fy122dqkgmbfi5h122v6p2h0"))))
+ "11fx2vv8jlvcnybh18y7v4bn2c67aqsqwfq7y8dpywbwr4zg8jid"))))
(properties `((upstream-name . "showtext")))
(build-system r-build-system)
(inputs
(native-inputs
`(("r-knitr" ,r-knitr)
("r-rmarkdown" ,r-rmarkdown)
- ("pandoc-citeproc" ,ghc-pandoc-citeproc)))
+ ("pandoc-citeproc" ,pandoc-citeproc)))
(home-page "https://github.com/andreyshabalin/filematrix")
(synopsis "File-backed matrix class with convenient read and write access")
(description
(define-public r-fda
(package
(name "r-fda")
- (version "5.1.4")
+ (version "5.1.5.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "fda" version))
(sha256
(base32
- "0js4ggl3aiwsqk6npwz72yhcznkb63smddds24ngf6a0p8yp5p2x"))))
+ "0zi001cw5536x6rgr4l0skva7fk53663zf6ggnsa8znml090sihm"))))
(properties `((upstream-name . "fda")))
(build-system r-build-system)
(propagated-inputs
(define-public r-adamethods
(package
(name "r-adamethods")
- (version "1.2")
+ (version "1.2.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "adamethods" version))
(sha256
(base32
- "0mp73zh5x6h18gv29v981kb9n632kb58lvlcxwr6vcvrx393nrxh"))))
+ "150awbd3skb1mqca18bqjykhyycqw8crviw66s6qrcnmcsbk77pj"))))
(properties `((upstream-name . "adamethods")))
(build-system r-build-system)
(propagated-inputs
(define-public r-shinycssloaders
(package
(name "r-shinycssloaders")
- (version "0.3")
+ (version "1.0.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "shinycssloaders" version))
(sha256
(base32
- "1gzq1lhcnhqd145ys3ixf0l13l560fiqr2sc3m2nrijwxlgcw54d"))))
+ "0r3xm273lhdhzbs2mkgw1m2kwb7z1dh1pzya8yxy5vacda1l2ikl"))))
(properties
`((upstream-name . "shinycssloaders")))
(build-system r-build-system)
(define-public r-quanteda
(package
(name "r-quanteda")
- (version "2.1.0")
+ (version "2.1.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "quanteda" version))
(sha256
(base32
- "0qxvm75g6r0d1clj8b19gjqwkfrqypapf4zysb8nyfbmn33h8xc7"))))
+ "1wlrd7g2b459pnkqhihxhn74f37py1c9pxrdzp5xzp4mnbdxcsj8"))))
(properties `((upstream-name . "quanteda")))
(build-system r-build-system)
(propagated-inputs
(define-public r-stanheaders
(package
(name "r-stanheaders")
- (version "2.21.0-5")
+ (version "2.21.0-6")
(source
(origin
(method url-fetch)
(uri (cran-uri "StanHeaders" version))
(sha256
(base32
- "1zyph2x47x9a5baj5d79a1lzj7gajirisajvkrcngrjvw8bq7810"))))
+ "1wwcrss4y6xbi81cg6ldhm57wz5paflzzp3yxh8b6shf9l2jla50"))))
(properties `((upstream-name . "StanHeaders")))
(build-system r-build-system)
- (inputs `(("pandoc" ,ghc-pandoc)))
+ (inputs `(("pandoc" ,pandoc)))
(propagated-inputs
`(("r-rcppeigen" ,r-rcppeigen)
("r-rcppparallel" ,r-rcppparallel)))
"0b9x8rzj3dr4m7yjx476nn42z22xd1xnw85m9frfwxy5ivg1any9"))))
(properties `((upstream-name . "rstantools")))
(build-system r-build-system)
- (inputs `(("pandoc" ,ghc-pandoc)))
+ (inputs `(("pandoc" ,pandoc)))
(propagated-inputs
`(("r-desc" ,r-desc)
("r-rcpp" ,r-rcpp)
(properties `((upstream-name . "loo")))
(build-system r-build-system)
(inputs
- `(("pandoc" ,ghc-pandoc)
- ("pandoc-citeproc" ,ghc-pandoc-citeproc)))
+ `(("pandoc" ,pandoc)
+ ("pandoc-citeproc" ,pandoc-citeproc)))
(propagated-inputs
`(("r-checkmate" ,r-checkmate)
("r-matrixstats" ,r-matrixstats)))
(define-public r-rstan
(package
(name "r-rstan")
- (version "2.21.1")
+ (version "2.21.2")
(source
(origin
(method url-fetch)
(uri (cran-uri "rstan" version))
(sha256
(base32
- "0fxxh2jmrgfp98195qkqli1r9ni457vnjdvqm5l91j6aagkbk8zz"))))
+ "0jh58qfrksd2j9w2zy4bajryivgp36m3xdb9mjrjqbk1ib9h83p3"))))
(properties `((upstream-name . "rstan")))
(build-system r-build-system)
(arguments
#t)))))
(native-inputs
`(("tzdata" ,tzdata-for-tests)
- ("pandoc" ,ghc-pandoc)
+ ("pandoc" ,pandoc)
("r-knitr" ,r-knitr)))
(propagated-inputs
`(("r-bh" ,r-bh)
("r-rcppeigen" ,r-rcppeigen)
("r-rcppparallel" ,r-rcppparallel)
("r-stanheaders" ,r-stanheaders)
- ("r-v8" ,r-v8)))
+ ("r-v8" ,r-v8)
+ ("r-withr" ,r-withr)))
(home-page "https://discourse.mc-stan.org/")
(synopsis "R interface to Stan")
(description
(define-public r-rstanarm
(package
(name "r-rstanarm")
- (version "2.19.3")
+ (version "2.21.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "rstanarm" version))
(sha256
(base32
- "0gxjq8bdlvdd8kn3dhp12xlymdab036r7n12lzmd3xlkl4cnxq3s"))))
+ "04ggzak3f7jaxza3dxyrmxp5b48qcgyspy22ykbhr03g4hzp7jk8"))))
(properties `((upstream-name . "rstanarm")))
(build-system r-build-system)
(inputs
- `(("pandoc" ,ghc-pandoc)
- ("pandoc-citeproc" ,ghc-pandoc-citeproc)))
+ `(("pandoc" ,pandoc)
+ ("pandoc-citeproc" ,pandoc-citeproc)))
(propagated-inputs
`(("r-bayesplot" ,r-bayesplot)
("r-bh" ,r-bh)
("r-shinystan" ,r-shinystan)
("r-stanheaders" ,r-stanheaders)
("r-survival" ,r-survival)))
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
(home-page "https://mc-stan.org/rstanarm/")
(synopsis "Bayesian applied regression modeling via Stan")
(description
(build-system r-build-system)
(inputs
`(("jupyter" ,python-nbconvert)
- ("pandoc" ,ghc-pandoc)))
+ ("pandoc" ,pandoc)))
(home-page "https://cran.r-project.org/web/packages/nbconvertR/")
(synopsis "Vignette engine wrapping Jupyter notebooks")
(description
(define-public r-aws
(package
(name "r-aws")
- (version "2.4-2")
+ (version "2.4-3")
(source
(origin
(method url-fetch)
(uri (cran-uri "aws" version))
(sha256
(base32
- "1czlsy64nx6j7h1smgb561yyv3f98pwqwglk77yla4mx3fp14bvq"))))
+ "0ccm8ffjf8bylhfr64j9wzi49hzigz4bs172pvkb0bi4d5vdr0l5"))))
(properties
`((upstream-name . "aws")))
(build-system r-build-system)
(define-public r-rxnat
(package
(name "r-rxnat")
- (version "1.0.8")
+ (version "1.0.12")
(source
(origin
(method url-fetch)
(uri (cran-uri "Rxnat" version))
(sha256
(base32
- "12xcs2l6vn50bwzfmv60j1qahjw2npfm1a3yjhffcxzh6p8chwbg"))))
+ "06w99b5lvpycykzlga6grw33zkajwbb04s89s37wy9zxy42vc4cb"))))
(properties
`((upstream-name . "Rxnat")))
(build-system r-build-system)
(propagated-inputs
- `(("r-httr" ,r-httr)
+ `(("r-dplyr" ,r-dplyr)
+ ("r-httr" ,r-httr)
("r-rcurl" ,r-rcurl)))
(native-inputs
`(("r-knitr" ,r-knitr)))
(define-public r-brms
(package
(name "r-brms")
- (version "2.13.3")
+ (version "2.13.5")
(source
(origin
(method url-fetch)
(uri (cran-uri "brms" version))
(sha256
(base32
- "13gnc517yssvi2mnih5bln06hcbn4y80gd9h3szacs6n3mwpig5f"))))
+ "0a2m5wr134sxflmiq5jzvanzn81fv7xndy9gyvrq3bay9vakic69"))))
(properties `((upstream-name . "brms")))
(build-system r-build-system)
(propagated-inputs
(define-public r-fourcseq
(package
(name "r-fourcseq")
- (version "1.21.0")
+ (version "1.22.1")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "FourCSeq" version))
(sha256
- (base32 "0lhcjw2hmmdafq52c5fvpm1crnzynbslamzh7r6ygifmzaz2pa8x"))))
+ (base32 "14q1ijnqnbd9xs60sfvyqjfiypjrvhacpwp2v85yfhcxw870cx5b"))))
(properties `((upstream-name . "FourCSeq")))
(build-system r-build-system)
(propagated-inputs
jumps from the C API as well as C++ exceptions, conform to normal R function
semantics and supports interaction with @code{ALTREP} vectors.")
(license license:expat)))
+
+(define-public r-rcppziggurat
+ (package
+ (name "r-rcppziggurat")
+ (version "0.1.5")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "RcppZiggurat" version))
+ (sha256
+ (base32
+ "0zmr3nvm5j0fpwxk3x9kxpwqbr66ldfvd10zy8xlgjbslz9myvfv"))))
+ (properties `((upstream-name . "RcppZiggurat")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-rcpp" ,r-rcpp)
+ ("r-rcppgsl" ,r-rcppgsl)))
+ (native-inputs `(("r-knitr" ,r-knitr)))
+ (home-page "https://cran.r-project.org/web/packages/RcppZiggurat/")
+ (synopsis "Rcpp integration of different \"Ziggurat\" normal RNG implementations")
+ (description
+ "The Ziggurat generator for normally distributed random numbers,
+originally proposed by Marsaglia and Tsang (2000,
+@url{https://doi.org/10.18637/jss.v005.i08}) has been improved upon a few
+times starting with Leong et al (2005,
+@url{https://doi.org/10.18637/jss.v012.i07}). This package provides an
+aggregation for comparing different implementations in order to provide a
+'faster but good enough' alternative for use with R and C++ code.")
+ (license license:gpl2+)))
+
+(define-public r-rfast
+ (package
+ (name "r-rfast")
+ (version "1.9.9")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "Rfast" version))
+ (sha256
+ (base32
+ "18m8xhg24kygwhq7avdp1hibilicb5wppi2wdmc36fkqljc274y0"))))
+ (properties `((upstream-name . "Rfast")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-rcpp" ,r-rcpp)
+ ("r-rcpparmadillo" ,r-rcpparmadillo)
+ ("r-rcppziggurat" ,r-rcppziggurat)))
+ (home-page "https://github.com/RfastOfficial/Rfast")
+ (synopsis "Collection of efficient and fast R functions")
+ (description
+ "This package provides a collection of fast (utility) functions for data
+analysis. Column- and row- wise means, medians, variances, minimums,
+maximums, many t, F and G-square tests, many regressions (normal, logistic,
+Poisson), are some of the many fast functions.")
+ (license license:gpl2+)))
+
+(define-public r-clusterr
+ (package
+ (name "r-clusterr")
+ (version "1.2.2")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "ClusterR" version))
+ (sha256
+ (base32
+ "1ky172bk15a78hky77vl60j7c81nq2495sxjrv53is25nkac7sjm"))))
+ (properties `((upstream-name . "ClusterR")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-ggplot2" ,r-ggplot2)
+ ("r-gmp" ,r-gmp)
+ ("r-gtools" ,r-gtools)
+ ("r-rcpp" ,r-rcpp)
+ ("r-rcpparmadillo" ,r-rcpparmadillo)))
+ (native-inputs `(("r-knitr" ,r-knitr)))
+ (home-page "https://github.com/mlampros/ClusterR")
+ (synopsis "Clustering")
+ (description
+ "This package provides Gaussian mixture models, k-means,
+mini-batch-kmeans, k-medoids and affinity propagation clustering with the
+option to plot, validate, predict (new data) and estimate the optimal number
+of clusters. The package takes advantage of @code{RcppArmadillo} to speed up
+the computationally intensive parts of the functions. For more information,
+see
+
+@enumerate
+@item \"Clustering in an Object-Oriented Environment\" by Anja Struyf, Mia
+ Hubert, Peter Rousseeuw (1997), Journal of Statistical Software,
+ @url{https://doi.org/10.18637/jss.v001.i04};
+@item \"Web-scale k-means clustering\" by D. Sculley (2010), ACM Digital
+ Library, @url{https://doi.org/10.1145/1772690.1772862};
+@item \"Armadillo: a template-based C++ library
+ for linear algebra\" by Sanderson et al (2016), The Journal of Open Source
+ Software, @url{https://doi.org/10.21105/joss.00026};
+@item \"Clustering by Passing Messages Between Data Points\" by Brendan
+ J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814,
+ pp. 972-976, @url{https://doi.org/10.1126/science.1136800}.
+@end enumerate
+")
+ (license license:gpl3)))
+
+(define-public r-spectrum
+ (package
+ (name "r-spectrum")
+ (version "1.1")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "Spectrum" version))
+ (sha256
+ (base32
+ "0n38d360azkck6vvhr771zsh0gbvd9qsf9ygg5r18vhz0pb1xcfw"))))
+ (properties `((upstream-name . "Spectrum")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-clusterr" ,r-clusterr)
+ ("r-diptest" ,r-diptest)
+ ("r-ggplot2" ,r-ggplot2)
+ ("r-rfast" ,r-rfast)))
+ (native-inputs `(("r-knitr" ,r-knitr)))
+ (home-page "https://cran.r-project.org/web/packages/Spectrum/")
+ (synopsis "Fast adaptive spectral clustering for single and multi-view data")
+ (description
+ "This package provides a self-tuning spectral clustering method for
+single or multi-view data. Spectrum uses a new type of adaptive density aware
+kernel that strengthens connections in the graph based on common nearest
+neighbours. It uses a tensor product graph data integration and diffusion
+procedure to integrate different data sources and reduce noise. Spectrum uses
+either the eigengap or multimodality gap heuristics to determine the number of
+clusters. The method is sufficiently flexible so that a wide range of
+Gaussian and non-Gaussian structures can be clustered with automatic selection
+of K.")
+ (license license:agpl3+)))
+
+(define-public r-nabor
+ (package
+ (name "r-nabor")
+ (version "0.5.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "nabor" version))
+ (sha256
+ (base32
+ "1nj39cdfwrmhgsi3cq8imxv3n6xzc1v6dzdb2cf2hybjk368v4s7"))))
+ (properties `((upstream-name . "nabor")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-bh" ,r-bh)
+ ("r-rcpp" ,r-rcpp)
+ ("r-rcppeigen" ,r-rcppeigen)))
+ (home-page "https://cran.r-project.org/web/packages/nabor/")
+ (synopsis "Wrapper for K nearest neighbour library for low dimensions")
+ (description
+ "This package provides an R wrapper for libnabo, an exact or approximate
+k nearest neighbour library which is optimised for low dimensional
+spaces (e.g. 3D). @code{nabor} includes a @code{knn} function that is
+designed as a drop-in replacement for the RANN function @code{nn2}. In
+addition, objects which include the k-d tree search structure can be returned
+to speed up repeated queries of the same set of target points.")
+ (license license:bsd-3)))
HCoop / jackhill / guix / guix.git / blobdiff