CRAN Package Check Results for Package GSparO

Last updated on 2026-08-03 12:51:38 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0 4.78 54.38 59.16 NOTE
r-devel-linux-x86_64-debian-gcc 1.0 4.32 41.47 45.79 NOTE
r-devel-linux-x86_64-fedora-clang 1.0 8.00 83.90 91.90 NOTE
r-devel-linux-x86_64-fedora-gcc 1.0 40.12 NOTE
r-devel-windows-x86_64 1.0 6.00 64.00 70.00 NOTE
r-patched-linux-x86_64 1.0 5.16 51.00 56.16 NOTE
r-release-linux-x86_64 1.0 5.27 51.46 56.73 NOTE
r-release-macos-arm64 1.0 2.00 67.00 69.00 NOTE
r-release-macos-x86_64 1.0 4.00 84.00 88.00 NOTE
r-release-windows-x86_64 1.0 7.00 64.00 71.00 NOTE
r-oldrel-macos-arm64 1.0 NOTE
r-oldrel-macos-x86_64 1.0 3.00 44.00 47.00 NOTE
r-oldrel-windows-x86_64 1.0 9.00 81.00 90.00 NOTE

Check Details

Version: 1.0
Check: Rd files
Result: NOTE checkRd: (-1) GSparO.Rd:23: Lost braces; missing escapes or markup? 23 | Group sparse optimization (GSparO) for least squares regression by using the proximal gradient algorithm to solve the L_{2,1/2} regularization model. | ^ checkRd: (-1) GSparO.Rd:26: Lost braces; missing escapes or markup? 26 | GSparO is group sparse optimization for least squares regression described in [Hu et al(2017)], in which the proximal gradient algorithm is implemented to solve the L_{2,1/2} regularization model. GSparO is an iterative algorithm consisting of a gradient step for the least squares regression and a proximal steps for the L_{2,1/2} penalty, which is analytically formulated in this function. Also, GSparO can solve sparse variable selection problem in absence of group structure. In particular, setting group in GSparO be a vector of ones, GSparO is reduced to the iterative half thresholding algorithm introduced in [Xu et al (2012)]. | ^ checkRd: (-1) GSparO.Rd:26: Lost braces; missing escapes or markup? 26 | GSparO is group sparse optimization for least squares regression described in [Hu et al(2017)], in which the proximal gradient algorithm is implemented to solve the L_{2,1/2} regularization model. GSparO is an iterative algorithm consisting of a gradient step for the least squares regression and a proximal steps for the L_{2,1/2} penalty, which is analytically formulated in this function. Also, GSparO can solve sparse variable selection problem in absence of group structure. In particular, setting group in GSparO be a vector of ones, GSparO is reduced to the iterative half thresholding algorithm introduced in [Xu et al (2012)]. | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 1.0
Check: for new files in some other directories
Result: NOTE Found the following files/directories: ‘~/tmp/scratch/Rtmp00EEdh’ ‘~/tmp/scratch/Rtmp0cbjap’ ‘~/tmp/scratch/Rtmp1Wh6Rt’ ‘~/tmp/scratch/Rtmp1d6pyU’ ‘~/tmp/scratch/Rtmp1fojmn’ ‘~/tmp/scratch/Rtmp1jtbks’ ‘~/tmp/scratch/Rtmp2EJJGl’ ‘~/tmp/scratch/Rtmp2LIXgT’ ‘~/tmp/scratch/Rtmp2RZTJz’ ‘~/tmp/scratch/Rtmp2jgvQ1’ ‘~/tmp/scratch/Rtmp4gX0Hk’ ‘~/tmp/scratch/Rtmp4yqkwD’ ‘~/tmp/scratch/Rtmp53xi4G’ ‘~/tmp/scratch/Rtmp5NOaDL’ ‘~/tmp/scratch/Rtmp5d7JCM’ ‘~/tmp/scratch/Rtmp5fonjC’ ‘~/tmp/scratch/Rtmp5mxkSK’ ‘~/tmp/scratch/Rtmp6PS19G’ ‘~/tmp/scratch/Rtmp6Tx1Rl’ ‘~/tmp/scratch/Rtmp7kuN9J’ ‘~/tmp/scratch/Rtmp80XRIe’ ‘~/tmp/scratch/Rtmp8OjcnL’ ‘~/tmp/scratch/Rtmp8kbGgI’ ‘~/tmp/scratch/Rtmp8wFqYA’ ‘~/tmp/scratch/RtmpB9mjYY’ ‘~/tmp/scratch/RtmpClmtSI’ ‘~/tmp/scratch/RtmpDAC9Ja’ ‘~/tmp/scratch/RtmpDAilqN’ ‘~/tmp/scratch/RtmpDJg8im’ ‘~/tmp/scratch/RtmpFKYyDG’ ‘~/tmp/scratch/RtmpHhB1dA’ ‘~/tmp/scratch/RtmpI3odwP’ ‘~/tmp/scratch/RtmpImtR2g’ ‘~/tmp/scratch/RtmpJRLGya’ ‘~/tmp/scratch/RtmpJyagvG’ ‘~/tmp/scratch/RtmpK1C9gs’ ‘~/tmp/scratch/RtmpKa02mh’ ‘~/tmp/scratch/RtmpLF0K5j’ ‘~/tmp/scratch/RtmpLcUtqI’ ‘~/tmp/scratch/RtmpLiYega’ ‘~/tmp/scratch/RtmpLuj3eS’ ‘~/tmp/scratch/RtmpM5ZEbe’ ‘~/tmp/scratch/RtmpMKVzIY’ ‘~/tmp/scratch/RtmpMMgR5l’ ‘~/tmp/scratch/RtmpMZ8bwU’ ‘~/tmp/scratch/RtmpNDlW76’ ‘~/tmp/scratch/RtmpNQ60NX’ ‘~/tmp/scratch/RtmpNcdFHE’ ‘~/tmp/scratch/RtmpNyIoSC’ ‘~/tmp/scratch/RtmpOtAaKk’ ‘~/tmp/scratch/RtmpP7VQF3’ ‘~/tmp/scratch/RtmpPtblYX’ ‘~/tmp/scratch/RtmpPxuEjw’ ‘~/tmp/scratch/RtmpRmKpfh’ ‘~/tmp/scratch/RtmpSIzc6b’ ‘~/tmp/scratch/RtmpSKb6ak’ ‘~/tmp/scratch/RtmpSOtIQy’ ‘~/tmp/scratch/RtmpU0m2Sl’ ‘~/tmp/scratch/RtmpU2LCm4’ ‘~/tmp/scratch/RtmpUkuopK’ ‘~/tmp/scratch/RtmpVDSGcB’ ‘~/tmp/scratch/RtmpW5ItfT’ ‘~/tmp/scratch/RtmpXEuMQU’ ‘~/tmp/scratch/RtmpXKEXBE’ ‘~/tmp/scratch/RtmpXeL4eQ’ ‘~/tmp/scratch/RtmpXgwAWy’ ‘~/tmp/scratch/RtmpXuHJ29’ ‘~/tmp/scratch/RtmpY77jT1’ ‘~/tmp/scratch/RtmpYG2dc1’ ‘~/tmp/scratch/RtmpYt2lp3’ ‘~/tmp/scratch/RtmpYtapxB’ ‘~/tmp/scratch/RtmpadVlNI’ ‘~/tmp/scratch/RtmpavUYSy’ ‘~/tmp/scratch/RtmpbF7Rof’ ‘~/tmp/scratch/RtmpbRK2tH’ ‘~/tmp/scratch/RtmpbV2g9i’ ‘~/tmp/scratch/Rtmpc6EGof’ ‘~/tmp/scratch/Rtmpc7HXk9’ ‘~/tmp/scratch/Rtmpdvd9bt’ ‘~/tmp/scratch/Rtmpe7XF4D’ ‘~/tmp/scratch/Rtmpec3AsY’ ‘~/tmp/scratch/Rtmpg4w8BT’ ‘~/tmp/scratch/RtmpgeZp73’ ‘~/tmp/scratch/Rtmph0QFQ8’ ‘~/tmp/scratch/Rtmpi4Jr4R’ ‘~/tmp/scratch/RtmpiMbBdE’ ‘~/tmp/scratch/RtmpiTVjgk’ ‘~/tmp/scratch/RtmpjCwPaJ’ ‘~/tmp/scratch/Rtmpk1ctLN’ ‘~/tmp/scratch/RtmplTEa4D’ ‘~/tmp/scratch/RtmplrvYGj’ ‘~/tmp/scratch/RtmpnZTioq’ ‘~/tmp/scratch/Rtmppp0wiq’ ‘~/tmp/scratch/RtmpqkGwkf’ ‘~/tmp/scratch/RtmprJN2Db’ ‘~/tmp/scratch/Rtmprdxqyb’ ‘~/tmp/scratch/Rtmprysz21’ ‘~/tmp/scratch/RtmpsfJKLr’ ‘~/tmp/scratch/RtmptZ7HVB’ ‘~/tmp/scratch/Rtmpu6PlWQ’ ‘~/tmp/scratch/RtmpuWRqvk’ ‘~/tmp/scratch/RtmpuY6Gen’ ‘~/tmp/scratch/RtmpujNZzM’ ‘~/tmp/scratch/RtmpvZqzpp’ ‘~/tmp/scratch/Rtmpvr67cM’ ‘~/tmp/scratch/Rtmpw20y9O’ ‘~/tmp/scratch/Rtmpwaa0dm’ ‘~/tmp/scratch/Rtmpx6XVuu’ ‘~/tmp/scratch/RtmpxKjkRr’ ‘~/tmp/scratch/RtmpxuOUpV’ ‘~/tmp/scratch/Rtmpy39aVz’ ‘~/tmp/scratch/Rtmpz1OdF9’ ‘~/tmp/scratch/Rtmpz6UcEb’ ‘~/tmp/scratch/xvfb-run.1QCXTQ’ ‘~/tmp/scratch/xvfb-run.1ZuvOQ’ ‘~/tmp/scratch/xvfb-run.321czD’ ‘~/tmp/scratch/xvfb-run.4KeCEw’ ‘~/tmp/scratch/xvfb-run.8BSYSl’ ‘~/tmp/scratch/xvfb-run.FHZ0vd’ ‘~/tmp/scratch/xvfb-run.GG10wj’ ‘~/tmp/scratch/xvfb-run.JG2lN1’ ‘~/tmp/scratch/xvfb-run.JJa7jS’ ‘~/tmp/scratch/xvfb-run.PIyzoc’ ‘~/tmp/scratch/xvfb-run.QHkHOO’ ‘~/tmp/scratch/xvfb-run.UPNatX’ ‘~/tmp/scratch/xvfb-run.VNRNNm’ ‘~/tmp/scratch/xvfb-run.Vi0OzL’ ‘~/tmp/scratch/xvfb-run.WJIBPb’ ‘~/tmp/scratch/xvfb-run.WYZA6q’ ‘~/tmp/scratch/xvfb-run.WkpcWM’ ‘~/tmp/scratch/xvfb-run.YQv2lv’ ‘~/tmp/scratch/xvfb-run.YwZrld’ ‘~/tmp/scratch/xvfb-run.Z7lV7Q’ ‘~/tmp/scratch/xvfb-run.bmbWlB’ ‘~/tmp/scratch/xvfb-run.di9UQv’ ‘~/tmp/scratch/xvfb-run.iwkQoY’ ‘~/tmp/scratch/xvfb-run.jqrq4K’ ‘~/tmp/scratch/xvfb-run.mcvfqb’ ‘~/tmp/scratch/xvfb-run.mgaQlX’ ‘~/tmp/scratch/xvfb-run.nGJfke’ ‘~/tmp/scratch/xvfb-run.o2sHC2’ ‘~/tmp/scratch/xvfb-run.pS8bjU’ ‘~/tmp/scratch/xvfb-run.qXtIEh’ ‘~/tmp/scratch/xvfb-run.rxQ1ml’ ‘~/tmp/scratch/xvfb-run.s9juQ4’ ‘~/tmp/scratch/xvfb-run.sHZOHY’ ‘~/tmp/scratch/xvfb-run.tCb2Vi’ ‘~/tmp/scratch/xvfb-run.vMntPt’ ‘~/tmp/scratch/xvfb-run.xGAHUQ’ ‘~/tmp/scratch/xvfb-run.xxiqn1’ ‘~/tmp/scratch/xvfb-run.yITWi5’ ‘~/tmp/scratch/xvfb-run.yIbrwJ’ ‘~/tmp/scratch/xvfb-run.z0mcts’ ‘~/tmp/scratch/xvfb-run.zdUhQ8’ Flavor: r-devel-linux-x86_64-debian-gcc