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| -rw-r--r-- | gnu/packages/cran.scm | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 81b01d4ad1..ec07e401fa 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -1084,6 +1084,48 @@ and compare against other CPUs. Also provides functions for obtaining system specifications, such as RAM, CPU type, and R version.") (license license:gpl2+))) +(define-public r-bestnormalize + (package + (name "r-bestnormalize") + (version "1.8.3") + (source (origin + (method url-fetch) + (uri (cran-uri "bestNormalize" version)) + (sha256 + (base32 + "107z16vx6k31ln5ppxixjgagrzrjwlrk13689lq2s90x4k2pgmkh")))) + (properties `((upstream-name . "bestNormalize"))) + (build-system r-build-system) + (propagated-inputs (list r-butcher + r-doparallel + r-dorng + r-dplyr + r-foreach + r-lambertw + r-nortest + r-purrr + r-recipes + r-tibble)) + (native-inputs (list r-knitr)) + (home-page "https://petersonr.github.io/bestNormalize/") + (synopsis "Normalizing transformation functions") + (description + "Estimate a suite of normalizing transformations, including a new +adaptation of a technique based on ranks which can guarantee normally +distributed transformed data if there are no ties: @dfn{ordered quantile +normalization} (ORQ). ORQ normalization combines a rank-mapping approach with +a shifted logit approximation that allows the transformation to work on data +outside the original domain. It is also able to handle new data within the +original domain via linear interpolation. The package is built to estimate +the best normalizing transformation for a vector consistently and accurately. +It implements the Box-Cox transformation, the Yeo-Johnson transformation, +three types of Lambert WxF transformations, and the ordered quantile +normalization transformation. It estimates the normalization efficacy of +other commonly used transformations, and it allows users to specify custom +transformations or normalization statistics. Finally, functionality can be +integrated into a machine learning workflow via recipes.") + (license license:gpl3))) + (define-public r-bezier (package (name "r-bezier") |