gnu: Add r-xllim.

* gnu/packages/bioconductor.scm (r-xllim): New variable.

Change-Id: Ie7c6ae8885b855ca329d0955721772e125891344
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Ricardo Wurmus 2025-02-21 15:10:50 +01:00
parent ff56aea18f
commit a2b452c557
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@ -14268,6 +14268,46 @@ protein-protein interaction databases and integrative resources such as
molecular functions, respectively, and produces intuitive graphical outputs.")
(license license:gpl3)))
;; This is a CRAN package but it depends on r-mixomics from Bioconductor.
(define-public r-xllim
(package
(name "r-xllim")
(version "2.3")
(source
(origin
(method url-fetch)
(uri (cran-uri "xLLiM" version))
(sha256
(base32 "08v6acn6vpn8asn61ldqdryjz0xk5zyd2v63aqrc5xximpqwrp7d"))))
(properties `((upstream-name . "xLLiM")))
(build-system r-build-system)
(propagated-inputs (list r-abind
r-capushe
r-corpcor
r-e1071
r-glmnet
r-igraph
r-mass
r-matrix
r-mda
r-mixomics
r-progress
r-randomforest))
(home-page "https://cran.r-project.org/package=xLLiM")
(synopsis "High dimensional locally-linear mapping")
(description
"This package provides a tool for non linear mapping (non linear
regression) using a mixture of regression model and an inverse regression
strategy. The methods include the GLLiM model (see Deleforge et al (2015)
<DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust
version of GLLiM, named SLLiM (see Perthame et al (2016)
<DOI:10.1016/j.jmva.2017.09.009>) based on a mixture of Generalized Student
distributions. The methods also include BLLiM (see Devijver et al (2017)
<@code{arXiv:1701.07899>}) which is an extension of GLLiM with a sparse block
diagonal structure for large covariance matrices (particularly interesting for
transcriptomic data).")
(license license:gpl2+)))
(define-public r-xmapbridge
(package
(name "r-xmapbridge")