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| -rw-r--r-- | gnu/packages/cran.scm | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index a17f5d2281..fb62558b57 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -17864,6 +17864,38 @@ precision) data. Float vectors/matrices have half the precision of their on, for a performance vs accuracy trade-off.") (license license:bsd-2))) +(define-public r-rsparse + (package + (name "r-rsparse") + (version "0.4.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "rsparse" version)) + (sha256 + (base32 + "1blg59gsidh0sn6yy761pisz2phml0hzgqc24s5s8q9q903rddr9")))) + (properties `((upstream-name . "rsparse"))) + (build-system r-build-system) + (propagated-inputs + `(("r-data-table" ,r-data-table) + ("r-float" ,r-float) + ("r-lgr" ,r-lgr) + ("r-matrix" ,r-matrix) + ("r-rcpp" ,r-rcpp) + ("r-rcpparmadillo" ,r-rcpparmadillo) + ("r-rhpcblasctl" ,r-rhpcblasctl))) + (home-page "https://github.com/rexyai/rsparse") + (synopsis "Statistical learning on sparse matrices") + (description + "This package implements many algorithms for statistical learning on +sparse matrices: matrix factorizations, matrix completion, elastic net +regressions, factorization machines. The rsparse package also enhances the +Matrix package by providing methods for multithreaded <sparse, dense> matrix +products and native slicing of the sparse matrices in @dfn{Compressed Sparse +Row} (CSR) format.") + (license license:gpl2+))) + (define-public r-xmlparsedata (package (name "r-xmlparsedata") |