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File: [cvs.NetBSD.org] / pkgsrc / math / R-MatrixModels / distinfo (download)

Revision 1.1, Fri Jan 1 05:38:54 2016 UTC (7 years, 1 month ago) by wen
Branch: MAIN
CVS Tags: pkgsrc-2021Q2-base, pkgsrc-2021Q2, pkgsrc-2021Q1-base, pkgsrc-2021Q1, pkgsrc-2020Q4-base, pkgsrc-2020Q4, pkgsrc-2020Q3-base, pkgsrc-2020Q3, pkgsrc-2020Q2-base, pkgsrc-2020Q2, pkgsrc-2020Q1-base, pkgsrc-2020Q1, pkgsrc-2019Q4-base, pkgsrc-2019Q4, pkgsrc-2019Q3-base, pkgsrc-2019Q3, pkgsrc-2019Q2-base, pkgsrc-2019Q2, pkgsrc-2019Q1-base, pkgsrc-2019Q1, pkgsrc-2018Q4-base, pkgsrc-2018Q4, pkgsrc-2018Q3-base, pkgsrc-2018Q3, pkgsrc-2018Q2-base, pkgsrc-2018Q2, pkgsrc-2018Q1-base, pkgsrc-2018Q1, pkgsrc-2017Q4-base, pkgsrc-2017Q4, pkgsrc-2017Q3-base, pkgsrc-2017Q3, pkgsrc-2017Q2-base, pkgsrc-2017Q2, pkgsrc-2017Q1-base, pkgsrc-2017Q1, pkgsrc-2016Q4-base, pkgsrc-2016Q4, pkgsrc-2016Q3-base, pkgsrc-2016Q3, pkgsrc-2016Q2-base, pkgsrc-2016Q2, pkgsrc-2016Q1-base, pkgsrc-2016Q1

Import MatrixModels 0.4-1 as math/R-MatrixModels.

Modelling with sparse and dense 'Matrix' matrices, using modular
prediction and response module classes.

$NetBSD: distinfo,v 1.1 2016/01/01 05:38:54 wen Exp $

SHA1 (R/MatrixModels_0.4-1.tar.gz) = a5c3ba4361903ef19eaf4cbb31a14bf14ddb60ad
RMD160 (R/MatrixModels_0.4-1.tar.gz) = 66e31feaa7d783615bf96cea5ea457b9da97ba16
SHA512 (R/MatrixModels_0.4-1.tar.gz) = 058c229c7a56e06c3b38ed1e93ef4ca02ac73f91a4c7536a892a8d2579c5ad75ad4b726d1b8efd5f0389e6584e6abbd4c8715d190d573c1f1aa13f9efd7fc665
Size (R/MatrixModels_0.4-1.tar.gz) = 23065 bytes