head 1.5; access; symbols pkgsrc-2023Q4:1.4.0.18 pkgsrc-2023Q4-base:1.4 pkgsrc-2023Q3:1.4.0.16 pkgsrc-2023Q3-base:1.4 pkgsrc-2023Q2:1.4.0.14 pkgsrc-2023Q2-base:1.4 pkgsrc-2023Q1:1.4.0.12 pkgsrc-2023Q1-base:1.4 pkgsrc-2022Q4:1.4.0.10 pkgsrc-2022Q4-base:1.4 pkgsrc-2022Q3:1.4.0.8 pkgsrc-2022Q3-base:1.4 pkgsrc-2022Q2:1.4.0.6 pkgsrc-2022Q2-base:1.4 pkgsrc-2022Q1:1.4.0.4 pkgsrc-2022Q1-base:1.4 pkgsrc-2021Q4:1.4.0.2 pkgsrc-2021Q4-base:1.4 pkgsrc-2021Q3:1.2.0.2 pkgsrc-2021Q3-base:1.2 pkgsrc-2021Q2:1.1.0.44 pkgsrc-2021Q2-base:1.1 pkgsrc-2021Q1:1.1.0.42 pkgsrc-2021Q1-base:1.1 pkgsrc-2020Q4:1.1.0.40 pkgsrc-2020Q4-base:1.1 pkgsrc-2020Q3:1.1.0.38 pkgsrc-2020Q3-base:1.1 pkgsrc-2020Q2:1.1.0.34 pkgsrc-2020Q2-base:1.1 pkgsrc-2020Q1:1.1.0.14 pkgsrc-2020Q1-base:1.1 pkgsrc-2019Q4:1.1.0.36 pkgsrc-2019Q4-base:1.1 pkgsrc-2019Q3:1.1.0.32 pkgsrc-2019Q3-base:1.1 pkgsrc-2019Q2:1.1.0.30 pkgsrc-2019Q2-base:1.1 pkgsrc-2019Q1:1.1.0.28 pkgsrc-2019Q1-base:1.1 pkgsrc-2018Q4:1.1.0.26 pkgsrc-2018Q4-base:1.1 pkgsrc-2018Q3:1.1.0.24 pkgsrc-2018Q3-base:1.1 pkgsrc-2018Q2:1.1.0.22 pkgsrc-2018Q2-base:1.1 pkgsrc-2018Q1:1.1.0.20 pkgsrc-2018Q1-base:1.1 pkgsrc-2017Q4:1.1.0.18 pkgsrc-2017Q4-base:1.1 pkgsrc-2017Q3:1.1.0.16 pkgsrc-2017Q3-base:1.1 pkgsrc-2017Q2:1.1.0.12 pkgsrc-2017Q2-base:1.1 pkgsrc-2017Q1:1.1.0.10 pkgsrc-2017Q1-base:1.1 pkgsrc-2016Q4:1.1.0.8 pkgsrc-2016Q4-base:1.1 pkgsrc-2016Q3:1.1.0.6 pkgsrc-2016Q3-base:1.1 pkgsrc-2016Q2:1.1.0.4 pkgsrc-2016Q2-base:1.1 pkgsrc-2016Q1:1.1.0.2 pkgsrc-2016Q1-base:1.1; locks; strict; comment @# @; 1.5 date 2024.01.23.22.44.20; author mef; state Exp; branches; next 1.4; commitid xQYimt7VqjvcSCVE; 1.4 date 2021.10.26.10.55.22; author nia; state Exp; branches; next 1.3; commitid vzl6zVlmjiF3hjeD; 1.3 date 2021.10.07.14.27.44; author nia; state Exp; branches; next 1.2; commitid wLkpKfebF6VS3TbD; 1.2 date 2021.08.31.14.41.40; author mef; state Exp; branches; next 1.1; commitid bQl4O0dD9Btrk87D; 1.1 date 2016.01.01.05.38.54; author wen; state Exp; branches; next ; commitid rVdu36EPIfRRObPy; desc @@ 1.5 log @(math/R-MatrixModels) Updated 0.5.0 to 0.5.3, make test passed. 2023-10-13 Martin Maechler * DESCRIPTION (Version): 0.5-3 * man/lm.fit.sparse.Rd: use '\describe{..}` instead of lost braces. 2023-06-18 Martin Maechler * DESCRIPTION (Version): 0.5-2 * R/modelMatrix.R (solveCoef): 'predModule': Mikael J Matrix 1.6-0: Using Cholesky() instead of chol() for solve()ing. 2022-09-12 Martin Maechler * R/modelMatrix.R (glm4): support the 'contrasts' argument when that works in 'model.Matrix()'. 2021-09-03 Martin Maechler * DESCRIPTION (Version): 0.5-1 * R/AllClass.R: update for Matrix 1.5-0 @ text @$NetBSD: distinfo,v 1.4 2021/10/26 10:55:22 nia Exp $ BLAKE2s (R/MatrixModels_0.5-3.tar.gz) = df66c964c59a3a0482283ed1c4a6f92e2a0a10c48e6036951c2144c20cbe7229 SHA512 (R/MatrixModels_0.5-3.tar.gz) = 01b4f6e00a4153702fa39742fab805a28f5b42354cc8225e4d88ca39d07ec5d9692ed6528e175ce7e3de6190058fad38580efbb891f1b9f85f6ecfeadffff373 Size (R/MatrixModels_0.5-3.tar.gz) = 24822 bytes @ 1.4 log @math: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.3 2021/10/07 14:27:44 nia Exp $ d3 3 a5 3 BLAKE2s (R/MatrixModels_0.5-0.tar.gz) = 6c6190cc25849d10f72f3c4e906cdbfd01ff932b667996c78472a258f9452377 SHA512 (R/MatrixModels_0.5-0.tar.gz) = 4804ad8dfb596697ecfd37ab013d7c05e8e99716ed2ed7a87180ad45e2acad21bce9e5742e6d812582b399155c33d9e29e2610f9ec98c56d9229c51ca9a44339 Size (R/MatrixModels_0.5-0.tar.gz) = 24045 bytes @ 1.3 log @math: Remove SHA1 hashes for distfiles @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.2 2021/08/31 14:41:40 mef Exp $ d3 1 a3 1 RMD160 (R/MatrixModels_0.5-0.tar.gz) = 4c39894b4a6fbd94dcf9857dc7cc030468b15e34 @ 1.2 log @(math/R-MatrixModels) Updated 0.4.1 to 0.5.0, explicit NEWS.md unknown @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.1 2016/01/01 05:38:54 wen Exp $ a2 1 SHA1 (R/MatrixModels_0.5-0.tar.gz) = db4685dd3702ce4a3dc59c841b766ba39be9f152 @ 1.1 log @Import MatrixModels 0.4-1 as math/R-MatrixModels. Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes. @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.4 2015/11/03 23:33:27 agc Exp $ d3 4 a6 4 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 @