(define-public r-haven
(package
(name "r-haven")
- (version "1.1.1")
+ (version "1.1.2")
(source
(origin
(method url-fetch)
(uri (cran-uri "haven" version))
(sha256
(base32
- "1fkcvsrnw8waqwggv0aydbvbi99x5kp9g78xfxj4w6s3xvdzcysz"))))
+ "0pp8xjf5lzqg1wr8cwxj4njx99vxwlflwjrd7jvyzwlfpwh7n1qa"))))
(build-system r-build-system)
+ (inputs
+ `(("zlib" ,zlib)))
(propagated-inputs
`(("r-forcats" ,r-forcats)
("r-hms" ,r-hms)
error stream.")
(license license:expat)))
+(define-public r-pls
+ (package
+ (name "r-pls")
+ (version "2.6-0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "pls" version))
+ (sha256
+ (base32
+ "15j59p5x0rkdrk7iqzkipsy50rsyjl31w8zxc4w3v1j5gzxhi1rx"))))
+ (build-system r-build-system)
+ (home-page "http://mevik.net/work/software/pls.html")
+ (synopsis "Partial Least Squares and Principal Component Regression")
+ (description
+ "The pls package implements multivariate regression methods: Partial Least
+Squares Regression (@dfn{PLSR}), Principal Component Regression (@dfn{PCR}), and
+Canonical Powered Partial Least Squares (@dfn{CPPLS}). It supports:
+
+@itemize
+@item several algorithms: the traditional orthogonal scores (@dfn{NIPALS}) PLS
+algorithm, kernel PLS, wide kernel PLS, Simpls, and PCR through @code{svd}
+@item multi-response models (or @dfn{PLS2})
+@item flexible cross-validation
+@item Jackknife variance estimates of regression coefficients
+@item extensive and flexible plots: scores, loadings, predictions, coefficients,
+(R)MSEP, R², and correlation loadings
+@item formula interface, modelled after @code{lm()}, with methods for predict,
+print, summary, plot, update, etc.
+@item extraction functions for coefficients, scores, and loadings
+@item MSEP, RMSEP, and R² estimates
+@item multiplicative scatter correction (@dfn{MSC})
+@end itemize\n")
+ (license license:gpl2)))
+
(define-public r-rcpp
(package
(name "r-rcpp")
(define-public r-progress
(package
(name "r-progress")
- (version "1.1.2")
+ (version "1.2.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "progress" version))
(sha256
(base32
- "1fxakchfjr5vj59s9sxynd7crpz97xj42438rmkhkf3rjpyspx59"))))
+ "1rhwm0bdw30z3rvl0bn56xprjl3zrdy7150w4gl4bkvn2d6h9fav"))))
(build-system r-build-system)
(propagated-inputs
- `(("r-prettyunits" ,r-prettyunits)
+ `(("r-crayon" ,r-crayon)
+ ("r-hms" ,r-hms)
+ ("r-prettyunits" ,r-prettyunits)
("r-r6" ,r-r6)))
(home-page "https://github.com/gaborcsardi/progress")
(synopsis "Terminal progress bars")
(define-public r-ddalpha
(package
(name "r-ddalpha")
- (version "1.3.3")
+ (version "1.3.4")
(source
(origin
(method url-fetch)
(uri (cran-uri "ddalpha" version))
(sha256
(base32
- "0g4iqhrz2gym05q40ih6srilyajw2l2mv46pchn65bc7hw4vkgrk"))))
+ "16cn0bhbaz9l9k4y79sv2d4f7pvs7dyka273y89igs5jvr99kfj1"))))
(build-system r-build-system)
(propagated-inputs
`(("r-bh" ,r-bh)
(define-public r-recipes
(package
(name "r-recipes")
- (version "0.1.2")
+ (version "0.1.3")
(source
(origin
(method url-fetch)
(uri (cran-uri "recipes" version))
(sha256
(base32
- "1car3a3mqn87pz049cbgkaayz86970mvkapk6al2k7jjw76306l9"))))
+ "1vqh3pxs4n1azhnd1lzg91vasya6g323kllhbrw177j7kdxqyimy"))))
(build-system r-build-system)
(propagated-inputs
`(("r-broom" ,r-broom)
("r-lubridate" ,r-lubridate)
("r-magrittr" ,r-magrittr)
("r-matrix" ,r-matrix)
+ ("r-pls" ,r-pls)
("r-purrr" ,r-purrr)
("r-rcpproll" ,r-rcpproll)
("r-rlang" ,r-rlang)
(define-public r-mice
(package
(name "r-mice")
- (version "3.0.0")
+ (version "3.1.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "mice" version))
(sha256
(base32
- "1p8a5ham90iaak4w17114pdnw535r2l9sxr402yrkc4gbwfbpdlq"))))
+ "0xpn215yfzib4hw09cwilnyg9zbvq460njavfvm84mvgwbm25byi"))))
(build-system r-build-system)
(propagated-inputs
`(("r-broom" ,r-broom)
(define-public r-xfun
(package
(name "r-xfun")
- (version "0.1")
+ (version "0.2")
(source
(origin
(method url-fetch)
(uri (cran-uri "xfun" version))
(sha256
(base32
- "1sm51gmwgw876d6d1q8smxmfgfh6zsnykfx8qp8z6jmh0fvd89pj"))))
+ "0zl22fcw90kdvzkjyf6vbmdmn9rz3bl51522fasvmykypffyng4a"))))
(build-system r-build-system)
(home-page "https://github.com/yihui/xfun")
(synopsis "Miscellaneous functions")
(define-public r-statnet-common
(package
(name "r-statnet-common")
- (version "4.0.0")
+ (version "4.1.2")
(source
(origin
(method url-fetch)
(uri (cran-uri "statnet.common" version))
(sha256
(base32
- "0yw6l5b4qv0jqlg4zyczas7m12a5pyqghs6ydxy2f6v6vxkijvi0"))))
+ "0h3g687214rlycca0fjrpy1lqbqsrginxqhmhl2mb2jinqqxcfgd"))))
(properties
`((upstream-name . "statnet.common")))
(build-system r-build-system)
+ (propagated-inputs
+ `(("r-coda" ,r-coda)))
(home-page "https://statnet.org")
(synopsis "R scripts and utilities used by the Statnet software")
(description "This package provides non-statistical utilities used by the
(define-public r-extradistr
(package
(name "r-extradistr")
- (version "1.8.8")
+ (version "1.8.9")
(source
(origin
(method url-fetch)
(uri (cran-uri "extraDistr" version))
(sha256
(base32
- "0ywn4qwnamv36l1hw27l9y5kh3v6ha5781wsv2bz6szqjgg7kdb3"))))
+ "1fg8vjpal33y51iqzglk1yvy46d7js0l0wfbdy698lq8a06hq19p"))))
(properties `((upstream-name . "extraDistr")))
(build-system r-build-system)
(propagated-inputs
(define-public r-cubature
(package
(name "r-cubature")
- (version "1.3-11")
+ (version "1.4")
(source
(origin
(method url-fetch)
(uri (cran-uri "cubature" version))
(sha256
(base32
- "06f6gsvbb732p80r6hxvzh4ik546icxfvx21dyh65ypmw3kgm64k"))))
+ "1hd23b8v2kpqp5gr0va8p2q7j8w9rik6ks7zrr4b8mb2mwrakk74"))))
(build-system r-build-system)
(propagated-inputs
`(("r-rcpp" ,r-rcpp)))
(define-public r-radiant-data
(package
(name "r-radiant-data")
- (version "0.8.1")
+ (version "0.9.5")
(source
(origin
(method url-fetch)
(uri (cran-uri "radiant.data" version))
(sha256
(base32
- "1ylina1jlrmvjkj8pwg0ip5jv1038vnzyckmf542xl7g11x8rvw1"))
+ "0mbxfqn79nphii4hb6kxl2wc0w0ra16y378rp2yw9a9926zdb7mb"))
(modules '((guix build utils)))
(snippet
'(begin
("r-curl" ,r-curl)
("r-dplyr" ,r-dplyr)
("r-dt" ,r-dt)
+ ("r-glue" ,r-glue)
("r-ggplot2" ,r-ggplot2)
("r-gridextra" ,r-gridextra)
("r-import" ,r-import)
("r-lubridate" ,r-lubridate)
("r-magrittr" ,r-magrittr)
("r-markdown" ,r-markdown)
- ("r-pryr" ,r-pryr)
+ ("r-plotly" ,r-plotly)
("r-psych" ,r-psych)
("r-readr" ,r-readr)
+ ("r-readxl" ,r-readxl)
+ ("r-rlang" ,r-rlang)
("r-rmarkdown" ,r-rmarkdown)
("r-rstudioapi" ,r-rstudioapi)
("r-scales" ,r-scales)
("r-shiny" ,r-shiny)
("r-shinyace" ,r-shinyace)
("r-tibble" ,r-tibble)
- ("r-tidyr" ,r-tidyr)))
+ ("r-tidyr" ,r-tidyr)
+ ("r-writexl" ,r-writexl)))
(home-page "https://github.com/radiant-rstats/radiant.data")
(synopsis "Data menu for Radiant: business analytics using R and Shiny")
(description
(define-public r-prroc
(package
(name "r-prroc")
- (version "1.3")
+ (version "1.3.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "PRROC" version))
(sha256
(base32
- "03hvh92lq4i4w4mla9bvwrwb4626f4hvlxgdn57hamp70960vjyc"))))
+ "1m28h8pcd78049lz2qixhkcr9h5b3jik3maqzfbvq9y58z71i4a7"))))
(properties `((upstream-name . "PRROC")))
(build-system r-build-system)
(home-page "https://cran.r-project.org/web/packages/PRROC/")
(define-public r-later
(package
(name "r-later")
- (version "0.7.2")
+ (version "0.7.3")
(source
(origin
(method url-fetch)
(uri (cran-uri "later" version))
(sha256
(base32
- "0l5ln7sjyi2rj7bx8iamxykqlfarv05zb9882ikizppb1cr1hgyw"))))
+ "04j2phymxgkk4hv9pfa5w3s98w5d7fvm11blrdhxmray4n618msw"))))
(build-system r-build-system)
(propagated-inputs
`(("r-bh" ,r-bh)
(define-public r-reticulate
(package
(name "r-reticulate")
- (version "1.7")
+ (version "1.8")
(source
(origin
(method url-fetch)
(uri (cran-uri "reticulate" version))
(sha256
(base32
- "1ghhc4hbmwpp79ilbdbshynhs61i8sv8z6p1al04jy7ij0lcglxy"))))
+ "0zwb4ikf021nw7axdn7qlr6bq4xkph3anfy314idkspy1iil4nmr"))))
(build-system r-build-system)
(inputs `(("python" ,python)))
(propagated-inputs
(define-public r-ggpubr
(package
(name "r-ggpubr")
- (version "0.1.6")
+ (version "0.1.7")
(source
(origin
(method url-fetch)
(uri (cran-uri "ggpubr" version))
(sha256
(base32
- "0mvw215bj887958p34f0dzlrb8mgyfcz9b5zvsschvbhamqinqna"))))
+ "110ny8p41kmbz0a5rl0mv9cqpjkx6yr3ybflp1r0fmcvhwv7cr3i"))))
(build-system r-build-system)
(propagated-inputs
`(("r-cowplot" ,r-cowplot)
(description
"This package provides some easy-to-use functions to extract and
visualize the output of multivariate data analyses, including
-@code{PCA} (Principal Component Analysis), @cod{CA} (Correspondence Analysis),
-@code{MCA} (Multiple Correspondence Analysis), @code{FAMD} (Factor Analysis of
-Mixed Data), @code{MFA} (Multiple Factor Analysis) and
+@code{PCA} (Principal Component Analysis), @code{CA} (Correspondence
+Analysis), @code{MCA} (Multiple Correspondence Analysis), @code{FAMD} (Factor
+Analysis of Mixed Data), @code{MFA} (Multiple Factor Analysis) and
@code{HMFA} (Hierarchical Multiple Factor Analysis) functions from different R
packages. It contains also functions for simplifying some clustering analysis
steps and provides ggplot2-based elegant data visualization.")