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-rw-r--r--gnu/packages/statistics.scm279
1 files changed, 216 insertions, 63 deletions
diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm
index 8964c85c9c..915eaeac18 100644
--- a/gnu/packages/statistics.scm
+++ b/gnu/packages/statistics.scm
@@ -417,14 +417,14 @@ available, greatly increasing its breadth and scope.")
(define-public r-boot
(package
(name "r-boot")
- (version "1.3-26")
+ (version "1.3-27")
(source
(origin
(method url-fetch)
(uri (cran-uri "boot" version))
(sha256
(base32
- "161l3q3kdmi7s3xwl3xxg3x3zx8787hsvsr2mmawwxq2cad131fl"))))
+ "1v9anpxj4p83kd40gyfy8a454b2jmn11incrzym7wdvh8mdxpcil"))))
(build-system r-build-system)
(home-page "https://cran.r-project.org/web/packages/boot")
(synopsis "Bootstrap functions for R")
@@ -438,14 +438,14 @@ D.V. Hinkley (1997, CUP), originally written by Angelo Canty for S.")
(define-public r-mass
(package
(name "r-mass")
- (version "7.3-53")
+ (version "7.3-53.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "MASS" version))
(sha256
(base32
- "0f2bwsbqr3nzsqxva051lg8wd068naqif3vc48hac0m3mmq4x0j1"))))
+ "0ra46441y4iwcpd8px7j7vcjfj09fawl5khilaivjbg3gswiwnz4"))))
(properties `((upstream-name . "MASS")))
(build-system r-build-system)
(home-page "http://www.stats.ox.ac.uk/pub/MASS4/")
@@ -481,14 +481,14 @@ k-nearest neighbour, Learning Vector Quantization and Self-Organizing Maps.")
(define-public r-cluster
(package
(name "r-cluster")
- (version "2.1.0")
+ (version "2.1.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "cluster" version))
(sha256
(base32
- "055af3yz2biqbsbwm4arwr1yqnj4gicpzv2i6dbfl5pnz2z5byga"))))
+ "0qw06n1f7771mszc9y1f1c9zngd82zlf2s2z30p9514vxh4wgf5x"))))
(build-system r-build-system)
(native-inputs
`(("gfortran" ,gfortran)))
@@ -630,13 +630,13 @@ nonlinear mixed-effects models.")
(define-public r-mgcv
(package
(name "r-mgcv")
- (version "1.8-33")
+ (version "1.8-34")
(source
(origin
(method url-fetch)
(uri (cran-uri "mgcv" version))
(sha256
- (base32 "1x1bdzz2b2f05626xygwqp30b4rhblgg76hs15j9ab4fjan7pjwq"))))
+ (base32 "1pkky9xb3wsinqd75gkfbgw270vx8zh52id6bf1xj9njnzrkmc8m"))))
(build-system r-build-system)
(propagated-inputs
`(("r-matrix" ,r-matrix)
@@ -711,14 +711,14 @@ analysis.")
(define-public r-survival
(package
(name "r-survival")
- (version "3.2-7")
+ (version "3.2-9")
(source
(origin
(method url-fetch)
(uri (cran-uri "survival" version))
(sha256
(base32
- "0ila864g5b9yhjhk3jirgdpi06sksc0axa78890dmkvyv9rwsmjk"))))
+ "1dkpdci2lvx141193wd69445y65w8k2pa89lc3l83i5jaj56svdn"))))
(build-system r-build-system)
(propagated-inputs
`(("r-matrix" ,r-matrix)))
@@ -1203,19 +1203,21 @@ and to generate base64 encoded string from raster matrix.")
(define-public r-svglite
(package
(name "r-svglite")
- (version "1.2.3.2")
+ (version "2.0.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "svglite" version))
(sha256
(base32
- "00n8bg4iligl0h24v42cka417w26zmcxrr4r6k8wdal1riwhgmi5"))))
+ "19ggknw5322yw7r1bzhw0bqggcrpn0qxddk7kblpqnra2zz2brkn"))))
(build-system r-build-system)
+ (inputs
+ `(("libpng" ,libpng)
+ ("zlib" ,zlib)))
(propagated-inputs
- `(("r-bh" ,r-bh)
- ("r-gdtools" ,r-gdtools)
- ("r-rcpp" ,r-rcpp)))
+ `(("r-cpp11" ,r-cpp11)
+ ("r-systemfonts" ,r-systemfonts)))
(native-inputs
`(("r-knitr" ,r-knitr)))
(home-page "https://github.com/hadley/svglite")
@@ -1328,14 +1330,16 @@ adapted for other output formats, such as HTML or LaTeX.")
(define-public r-formatr
(package
(name "r-formatr")
- (version "1.7")
+ (version "1.8")
(source (origin
(method url-fetch)
(uri (cran-uri "formatR" version))
(sha256
(base32
- "1nsxbrx31k3y6yql30qkrvdfyznlia2qfvwv95mfiy7m7wdn4rm3"))))
+ "04q6y53ji7ll131khbwiz584wl8sinhh3z82p6r8dqa9f618ay6z"))))
(build-system r-build-system)
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
(home-page "https://yihui.org/formatr/")
(synopsis "Format R code automatically")
(description
@@ -1367,13 +1371,13 @@ supported via Andre Simon's highlight package.")
(define-public r-mime
(package
(name "r-mime")
- (version "0.9")
+ (version "0.10")
(source (origin
(method url-fetch)
(uri (cran-uri "mime" version))
(sha256
(base32
- "107sqarmyhxlch5nrg796i5z03p9mshskisiq2fm628ajk99gkrc"))))
+ "1xz37fizlx4w3g8kbim7vr5slqd6cmaq5sa0s4q7ayl1bahk6ckq"))))
(build-system r-build-system)
(home-page "https://github.com/yihui/mime")
(synopsis "R package to map filenames to MIME types")
@@ -1584,13 +1588,13 @@ R packages that praise their users.")
(define-public r-testthat
(package
(name "r-testthat")
- (version "3.0.1")
+ (version "3.0.2")
(source (origin
(method url-fetch)
(uri (cran-uri "testthat" version))
(sha256
(base32
- "1l1s4jgmgbsf711ma5i58ssgkz98an7hijcxvwfz314nf5fc8zr9"))))
+ "03sbk36vrjhzfap6a9czxw93r7h06rh3mb01inbrhrh5r2pd00qq"))))
(build-system r-build-system)
(propagated-inputs
`(("r-brio" ,r-brio)
@@ -1664,19 +1668,17 @@ like tidy evaluation.")
(define-public r-tibble
(package
(name "r-tibble")
- (version "3.0.6")
+ (version "3.1.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "tibble" version))
(sha256
(base32
- "0f41gnq0wwmy1z96lg3gicvm54jh685f7i3ag8yfk39r3ql2vzpv"))))
+ "0khmypf49la8n5gx72n7gr6dl6r6ja404i578g6sg0ail3g2i7lm"))))
(build-system r-build-system)
(propagated-inputs
- `(("r-cli" ,r-cli)
- ("r-crayon" ,r-crayon)
- ("r-ellipsis" ,r-ellipsis)
+ `(("r-ellipsis" ,r-ellipsis)
("r-fansi" ,r-fansi)
("r-lifecycle" ,r-lifecycle)
("r-magrittr" ,r-magrittr)
@@ -1696,13 +1698,13 @@ and printing capabilities than traditional data frames.")
(define-public r-dplyr
(package
(name "r-dplyr")
- (version "1.0.4")
+ (version "1.0.5")
(source (origin
(method url-fetch)
(uri (cran-uri "dplyr" version))
(sha256
(base32
- "0fh9ivw4jgdhcdz2mcs0b869jb479cjzr2c0s2x3552is5qqzxlv"))))
+ "0w3fr6sn0mw5mjs27669czpc8vpjj6ayrjavw8v0gd7ccsfa0hbm"))))
(build-system r-build-system)
(propagated-inputs
`(("r-ellipsis" ,r-ellipsis)
@@ -1853,13 +1855,13 @@ times.")
(define-public r-data-table
(package
(name "r-data-table")
- (version "1.13.6")
+ (version "1.14.0")
(source (origin
(method url-fetch)
(uri (cran-uri "data.table" version))
(sha256
(base32
- "16ryrpzl86krww5nx7a97i09y5xqld4lw4d9pa1vzjl99x6ds36m"))))
+ "0kgbvap5v2spnkz3dwfm4jh4qcpvbzdn9s8bzfnhzabz9qjdxw8k"))))
(build-system r-build-system)
(inputs
`(("zlib" ,zlib)))
@@ -1980,7 +1982,7 @@ inference for statistical models.")
(define-public python2-statsmodels
(let ((stats (package-with-python2 python-statsmodels)))
- (package (inherit stats)
+ (package/inherit stats
(propagated-inputs
`(("python2-pytz" ,python2-pytz)
("python2-numpy" ,python2-numpy)
@@ -2268,18 +2270,17 @@ module, Java Server Pages, and Python's psp module.")
(define-public r-desc
(package
(name "r-desc")
- (version "1.2.0")
+ (version "1.3.0")
(source
(origin
(method url-fetch)
(uri (cran-uri "desc" version))
(sha256
(base32
- "1s6s13fk6sxwcj8wzkwxl9vr33153xx11p5wi9avqx3rzkabavz6"))))
+ "1sw4vya3l971gpccq4gnjywgbl73bgx8la18l0wy617qv94f905y"))))
(build-system r-build-system)
(propagated-inputs
- `(("r-assertthat" ,r-assertthat)
- ("r-crayon" ,r-crayon)
+ `(("r-crayon" ,r-crayon)
("r-r6" ,r-r6)
("r-rprojroot" ,r-rprojroot)))
(home-page "https://github.com/r-pkgs/desc")
@@ -2635,13 +2636,13 @@ well as additional utilities such as panel and axis annotation functions.")
(define-public r-rcpparmadillo
(package
(name "r-rcpparmadillo")
- (version "0.10.2.1.0")
+ (version "0.10.2.2.0")
(source (origin
(method url-fetch)
(uri (cran-uri "RcppArmadillo" version))
(sha256
(base32
- "03i9npq2mcv08ppp1ab2vzr412d4q9vldcc87nz2djbh9ai3xnv5"))))
+ "193smj6vp3cn3qjhrx2llgi5c7hs069crhvi85xj2vzx80fx6r9q"))))
(properties `((upstream-name . "RcppArmadillo")))
(build-system r-build-system)
(propagated-inputs
@@ -2727,13 +2728,13 @@ certain criterion, e.g., it contains a certain regular file.")
(define-public r-rmarkdown
(package
(name "r-rmarkdown")
- (version "2.6")
+ (version "2.7")
(source
(origin
(method url-fetch)
(uri (cran-uri "rmarkdown" version))
(sha256
- (base32 "1c7nrpnv2v43msv7nia90rjh6s5x9m5wlb3mpiwy04fyfb29krz6"))))
+ (base32 "0shj637qhpcf30il3lhl3k5bxi5l3x3gf612hbqlakp1qrgrf8lm"))))
(properties `((upstream-name . "rmarkdown")))
(build-system r-build-system)
(propagated-inputs
@@ -2842,13 +2843,13 @@ a column in data frame.")
(define-public r-rsqlite
(package
(name "r-rsqlite")
- (version "2.2.3")
+ (version "2.2.4")
(source (origin
(method url-fetch)
(uri (cran-uri "RSQLite" version))
(sha256
(base32
- "1sps1qn1x5r5l216rx0yfda7zk365b2xyzii3zv6f78nzdsgadbj"))))
+ "050s7gv42v43d15yqj2sdrh82iikfpm32idfnw4nbjjjnlcg7wxf"))))
(properties `((upstream-name . "RSQLite")))
(build-system r-build-system)
(propagated-inputs
@@ -2900,7 +2901,7 @@ if (certs != \"\") { .opts = merge.list(.opts, list(cainfo=certs)) }
`(("libcurl" ,curl)))
(propagated-inputs
`(("r-bitops" ,r-bitops)))
- (home-page "http://www.omegahat.org/RCurl")
+ (home-page "http://www.omegahat.net/RCurl")
(synopsis "General network client interface for R")
(description
"The package allows one to compose general HTTP requests and provides
@@ -2931,7 +2932,7 @@ ldap, and also supports cookies, redirects, authentication, etc.")
("zlib" ,zlib)))
(native-inputs
`(("pkg-config" ,pkg-config)))
- (home-page "http://www.omegahat.org/RSXML")
+ (home-page "http://www.omegahat.net/RSXML")
(synopsis "Tools for parsing and generating XML within R")
(description
"Many approaches for both reading and creating XML (and HTML)
@@ -3039,14 +3040,14 @@ statements.")
(define-public r-segmented
(package
(name "r-segmented")
- (version "1.3-2")
+ (version "1.3-3")
(source
(origin
(method url-fetch)
(uri (cran-uri "segmented" version))
(sha256
(base32
- "00fc5lcq5qqmw2c2cimrxw8jmd0jysx2p238c2ycykkb13jdwm5n"))))
+ "16036lp0dq7qqzy8wc4qsgv58zksz6hmgw51v88gl6xclryc670y"))))
(build-system r-build-system)
(home-page "https://cran.r-project.org/web/packages/segmented")
(synopsis "Regression models with breakpoints estimation")
@@ -3080,13 +3081,13 @@ worker processes and collect and return the results on the master.")
(define-public r-sparsem
(package
(name "r-sparsem")
- (version "1.78")
+ (version "1.81")
(source (origin
(method url-fetch)
(uri (cran-uri "SparseM" version))
(sha256
(base32
- "0cmlm0lps3daalvp5jzjnjfys388hgkyc8yw0g5r2351h749xdyn"))))
+ "0csbqd9wm6r4162mday1iaigzf9wv2rp1zq8hnihys6f38w8z0xx"))))
(properties
`((upstream-name . "SparseM")))
(native-inputs
@@ -3278,13 +3279,13 @@ analysis of large sparse or dense matrices.")
(define-public r-glmnet
(package
(name "r-glmnet")
- (version "4.1")
+ (version "4.1-1")
(source
(origin
(method url-fetch)
(uri (cran-uri "glmnet" version))
(sha256
- (base32 "1js01qnznm20h4pslaw1ragxhrzk0w4nw7r6ryg7i27l344za2lg"))))
+ (base32 "0zpfq0m1y5zks5p9r28553ykywwrhrb3ds8m6b7sm6hj4n1c4csd"))))
(build-system r-build-system)
(native-inputs
`(("gfortran" ,gfortran)
@@ -3747,14 +3748,14 @@ selection.")
(define-public r-tidyr
(package
(name "r-tidyr")
- (version "1.1.2")
+ (version "1.1.3")
(source
(origin
(method url-fetch)
(uri (cran-uri "tidyr" version))
(sha256
(base32
- "0v7x1pgmwmjypzdr4j2ig2klgrrgryi3qvw8hwqv65a5h9kwpz08"))))
+ "0cpbrvr759z8p7r9lpkjhj2dcdymsbnaib0rma9b4jb7i3qzmh2a"))))
(build-system r-build-system)
(propagated-inputs
`(("r-cpp11" ,r-cpp11)
@@ -4035,13 +4036,13 @@ package instead.")
(define-public r-hmisc
(package
(name "r-hmisc")
- (version "4.4-2")
+ (version "4.5-0")
(source
(origin
(method url-fetch)
(uri (cran-uri "Hmisc" version))
(sha256
- (base32 "1j7vkckmahdh90ndcl646sjpxq82y4x55ngxqvkni22mv16wc2j9"))))
+ (base32 "11qj73zj16p113jpwn2vv06l99kqlcxcmrldbpyi5s7pwing9jnx"))))
(properties `((upstream-name . "Hmisc")))
(build-system r-build-system)
(native-inputs
@@ -4354,13 +4355,13 @@ within a category based on their density using quasirandom noise.")
(define-public r-beeswarm
(package
(name "r-beeswarm")
- (version "0.2.3")
+ (version "0.3.1")
(source (origin
(method url-fetch)
(uri (cran-uri "beeswarm" version))
(sha256
(base32
- "0hy89bwv7jixlg91li1fywa77916am2whqp1m1fx1khd45g44581"))))
+ "1jsggypyww77hkcic03kdb3fp8h938qs142xi0lapzh62bkn2pjj"))))
(build-system r-build-system)
(home-page "https://www.cbs.dtu.dk/~eklund/beeswarm/")
(synopsis "Implementation of bee swarm plots")
@@ -5089,14 +5090,14 @@ metrics for evaluating models.")
(define-public r-matrixmodels
(package
(name "r-matrixmodels")
- (version "0.4-1")
+ (version "0.5-0")
(source
(origin
(method url-fetch)
(uri (cran-uri "MatrixModels" version))
(sha256
(base32
- "0cyfvhci2p1vr2x52ymkyqqs63x1qchn856dh2j94yb93r08x1zy"))))
+ "1va6i6bpkq71rzl9i4xgyc5x7qcksa3nfzihlaggf6aj30dayzx8"))))
(properties `((upstream-name . "MatrixModels")))
(build-system r-build-system)
(propagated-inputs
@@ -5111,13 +5112,13 @@ using modular prediction and response module classes.")
(define-public r-quantreg
(package
(name "r-quantreg")
- (version "5.83")
+ (version "5.85")
(source
(origin
(method url-fetch)
(uri (cran-uri "quantreg" version))
(sha256
- (base32 "05vbnz88qxk141dfxwl6ql2zshw15h0hddf8ajnsk2dxfdb6vdkp"))))
+ (base32 "1y8sgl16yby1k7g23y6bdnfllwnxj3iik3fqp96iwm5jd8blb7q4"))))
(build-system r-build-system)
(native-inputs
`(("gfortran" ,gfortran)))
@@ -5201,14 +5202,14 @@ C++ library for numerical linear algebra and RcppEigen glue.")
(define-public r-pbkrtest
(package
(name "r-pbkrtest")
- (version "0.5-0.1")
+ (version "0.5.1")
(source
(origin
(method url-fetch)
(uri (cran-uri "pbkrtest" version))
(sha256
(base32
- "0sgl8r74cknmp8lnq5jvc1w181274ylgk6w4pxf4mzkfii42argm"))))
+ "1if7msv9i7jhg1as1f7m81a95dnwhwj3yfs24bqr0f6r0ch4b8xj"))))
(build-system r-build-system)
(propagated-inputs
`(("r-broom" ,r-broom)
@@ -5508,14 +5509,14 @@ is supported.")
(define-public r-lubridate
(package
(name "r-lubridate")
- (version "1.7.9.2")
+ (version "1.7.10")
(source
(origin
(method url-fetch)
(uri (cran-uri "lubridate" version))
(sha256
(base32
- "0yfvlgksasmia7rsp83lsipjpgvlly5qkldcfxj68lfaz9l2sspf"))))
+ "1s653d6rnpf9bkynxmbq4fdjdcz7r9ma19aph8f5y9ck70his4hm"))))
(build-system r-build-system)
(propagated-inputs
`(("r-generics" ,r-generics)
@@ -5923,3 +5924,155 @@ popular stats packages like SAS, Stata and SPSS.")
(home-page "https://github.com/WizardMac/ReadStat")
(license license:expat)))
+(define-public r-quantpsyc
+ (package
+ (name "r-quantpsyc")
+ (version "1.5")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "QuantPsyc" version))
+ (sha256
+ (base32
+ "1i9bh88r8zxndzjqsj14qw64gnvm5a9kvhjhzk3qsrvl3qzjgh93"))))
+ (properties `((upstream-name . "QuantPsyc")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-boot" ,r-boot) ("r-mass" ,r-mass)))
+ (home-page "https://cran.r-project.org/web/packages/QuantPsyc/")
+ (synopsis "Quantitative Psychology Tools")
+ (description
+ "Contains functions useful for data screening, testing moderation,
+mediation and estimating power.")
+ (license license:gpl2+)))
+
+(define-public r-clubsandwich
+ (package
+ (name "r-clubsandwich")
+ (version "0.5.3")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "clubSandwich" version))
+ (sha256
+ (base32
+ "0jazgka18bb5n58d5sn94q7rc9sac82qrpl2i5b4rkx9q2pb39cn"))))
+ (properties `((upstream-name . "clubSandwich")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-sandwich" ,r-sandwich)))
+ (native-inputs `(("r-knitr" ,r-knitr)))
+ (home-page "https://github.com/jepusto/clubSandwich")
+ (synopsis "Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
+Corrections")
+ (description
+ "Provides several cluster-robust variance estimators (i.e.,
+sandwich estimators) for ordinary and weighted least squares linear regression
+models, including the bias-reduced linearization estimator introduced by Bell
+and McCaffrey (2002)
+@url{http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf} and
+developed further by Pustejovsky and Tipton (2017)
+@url{doi:10.1080/07350015.2016.1247004}. The package includes functions for estimating
+the variance- covariance matrix and for testing single- and multiple-
+contrast hypotheses based on Wald test statistics. Tests of single regression
+coefficients use Satterthwaite or saddle-point corrections. Tests of multiple-
+contrast hypotheses use an approximation to Hotelling's T-squared distribution.
+Methods are provided for a variety of fitted models, including @code{lm()} and
+@code{mlm} objects, @code{glm()}, ivreg (from package @code{AER}), @code{plm()}
+(from package @code{plm}), @code{gls()} and @code{lme()} (from @code{nlme}),
+@code{robu()} (from @code{robumeta}), and @code{rma.uni()} and @code{rma.mv()}
+(from @code{metafor}).")
+ (license license:gpl3)))
+
+(define-public r-puniform
+ (package
+ (name "r-puniform")
+ (version "0.2.4")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "puniform" version))
+ (sha256
+ (base32
+ "0v2977y9cwjx74xk0ig745g09wn7nrcsrg4f6v315sglsm18iaa8"))))
+ (properties `((upstream-name . "puniform")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-adgoftest" ,r-adgoftest)
+ ("r-metafor" ,r-metafor)
+ ("r-rcpp" ,r-rcpp)
+ ("r-rcpparmadillo" ,r-rcpparmadillo)))
+ (home-page
+ "https://github.com/RobbievanAert/puniform")
+ (synopsis
+ "Meta-Analysis Methods Correcting for Publication Bias")
+ (description
+ "This package provides meta-analysis methods that correct for publication
+bias and outcome reporting bias. Four methods and a visual tool are currently
+included in the package.
+
+@enumerate
+@item The p-uniform method as described in van Assen, van Aert, and Wicherts
+(2015) @url{doi:10.1037/met0000025} can be used for estimating the average
+effect size, testing the null hypothesis of no effect, and testing for
+publication bias using only the statistically significant effect sizes of
+primary studies.
+
+@item The p-uniform* method as described in van Aert and van Assen (2019)
+@url{doi:10.31222/osf.io/zqjr9}. This method is an extension of the p-uniform
+method that allows for estimation of the average effect size and the
+between-study variance in a meta-analysis, and uses both the statistically
+significant and nonsignificant effect sizes.
+
+@item The hybrid method as described in van Aert and van Assen (2017)
+@url{doi:10.3758/s13428-017-0967-6}. The hybrid method is a meta-analysis
+method for combining an original study and replication and while taking into
+account statistical significance of the original study. The p-uniform and
+hybrid method are based on the statistical theory that the distribution of
+p-values is uniform conditional on the population effect size.
+
+@item
+The fourth method in the package is the Snapshot Bayesian Hybrid Meta-Analysis
+Method as described in van Aert and van Assen (2018)
+@url{doi:10.1371/journal.pone.0175302}. This method computes posterior
+probabilities for four true effect sizes (no, small, medium, and large) based
+on an original study and replication while taking into account publication bias
+in the original study. The method can also be used for computing the required
+sample size of the replication akin to power analysis in null hypothesis
+significance testing.
+@end enumerate
+
+The meta-plot is a visual tool for meta-analysis that
+provides information on the primary studies in the meta-analysis, the results
+of the meta-analysis, and characteristics of the research on the effect under
+study (van Assen and others, 2020).
+
+Helper functions to apply the Correcting for Outcome Reporting Bias (CORB)
+method to correct for outcome reporting bias in a meta-analysis (van Aert &
+Wicherts, 2020).")
+ (license license:gpl2+)))
+
+(define-public r-esc
+ (package
+ (name "r-esc")
+ (version "0.5.1")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "esc" version))
+ (sha256
+ (base32
+ "0gns7gz55p6pha05413r3hlvd7f2v1amxkg13d197mab1ypqic7q"))))
+ (properties `((upstream-name . "esc")))
+ (build-system r-build-system)
+ (home-page "https://strengejacke.github.io/esc/")
+ (synopsis
+ "Effect Size Computation for Meta Analysis")
+ (description
+ "Implementation of the web-based
+@url{http://www.campbellcollaboration.org/escalc/html/EffectSizeCalculator-Home.php,'Practical
+Meta-Analysis Effect Size Calculator'} from David B. Wilson in R. Based on the
+input, the effect size can be returned as standardized mean difference, Cohen's
+f, Hedges' g, Pearson's r or Fisher's transformation z, odds ratio or log odds,
+or eta squared effect size.")
+ (license license:gpl3)))
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