head 1.1; access; symbols pkgsrc-2026Q1:1.1.0.16 pkgsrc-2026Q1-base:1.1 pkgsrc-2025Q4:1.1.0.14 pkgsrc-2025Q4-base:1.1 pkgsrc-2025Q3:1.1.0.12 pkgsrc-2025Q3-base:1.1 pkgsrc-2025Q2:1.1.0.10 pkgsrc-2025Q2-base:1.1 pkgsrc-2025Q1:1.1.0.8 pkgsrc-2025Q1-base:1.1 pkgsrc-2024Q4:1.1.0.6 pkgsrc-2024Q4-base:1.1 pkgsrc-2024Q3:1.1.0.4 pkgsrc-2024Q3-base:1.1 pkgsrc-2024Q2:1.1.0.2 pkgsrc-2024Q2-base:1.1; locks; strict; comment @# @; 1.1 date 2024.06.08.15.30.08; author mef; state Exp; branches; next ; commitid WAgKcBd4j5Xf4cdF; desc @@ 1.1 log @math/R-lars: import R-lars-1.3 Efficient procedures for fitting an entire lasso sequence with the cost of a single least squares fit. Least angle regression and infinitesimal forward stagewise regression are related to the lasso, as described in the paper below. @ text @$NetBSD$ BLAKE2s (R/lars_1.3.tar.gz) = cba2e6183967fd824680f964593e9a14da8dfde476a520058164ed91b847f648 SHA512 (R/lars_1.3.tar.gz) = c8fa58eabde5219b02cffe0441c8f30832e2eaa8483092cd976e9336ab1226f144f0c1ca3ebee06885ac360869920725509fdecfd08467769265a83661a5ef65 Size (R/lars_1.3.tar.gz) = 184025 bytes @