{ "_id": "6a195de4acfb0bcc41de4cc1", "Package": "CKNNRLD", "Title": "Clustering-Based K-Nearest Neighbor Regression for Longitudinal\nData", "Version": "0.1.2", "Authors@R": "c(\nperson(given = \"Mohammad Sadegh\", family = \"Loeloe\", email = \"mslbiostat@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(given = \"Seyyed Mohammad\", family = \"Tabatabaei\", role = \"aut\"),\nperson(given = \"Reyhane\", family = \"Sefidkar\", role = \"aut\"),\nperson(given = \"Amir Houshang\", family = \"Mehrparvar\", role = \"aut\"),\nperson(given = \"Sara\", family = \"Jambarsang\", role = c(\"aut\", \"ths\"))\n)", "Description": "Implements the 'CKNNRLD' algorithm (Clustering-Based\nK-Nearest Neighbor Regression for Longitudinal Data) for\nimproving K-Nearest Neighbor ('KNN') regression on longitudinal\ndata through cluster-based partitioning and localized\nprediction. Offers enhanced computational efficiency and\naccuracy for high-volume longitudinal datasets. The clustering\nis performed using the 'latrend' package, which provides a\nunified interface for various longitudinal clustering methods\nincluding 'KML' (K-Means for Longitudinal data). The acronym\n'KNN' stands for K-Nearest Neighbor. The acronym 'KML' stands\nfor K-Means for Longitudinal data. References: Loeloe MS,\nTabatabaei SM, Sefidkar R, Mehrparvar AH, Jambarsang S (2025).\n\"Boosting K-nearest neighbor regression performance for\nlongitudinal data through a novel learning approach.\" BMC\nBioinformatics, 26, 232. ;\nGenolini C, Falissard B (2010). \"KmL: k-means for longitudinal\ndata.\" Computational Statistics, 25(2), 317-328.\n.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Language": "en-US", "Packaged": { "Date": "2026-05-29 08:12:33 UTC", "User": "root" }, "Author": "Mohammad Sadegh Loeloe [aut, cre], Seyyed Mohammad Tabatabaei\n[aut], Reyhane Sefidkar [aut], Amir Houshang Mehrparvar [aut],\nSara Jambarsang [aut, ths]", "Maintainer": "Mohammad Sadegh Loeloe ", "Config/pak/sysreqs": "libabsl-dev cmake libfreetype6-dev libgdal-dev\ngdal-bin libgeos-dev libglu1-mesa-dev make texlive libpng-dev\nlibuv1-dev libgl1-mesa-dev libssl-dev libproj-dev\nlibsqlite3-dev libudunits2-dev zlib1g-dev", "Repository": "https://mslbiostat.r-universe.dev", "Date/Publication": "2026-05-28 18:40:02 UTC", "RemoteUrl": "https://github.com/cran/CKNNRLD", "RemoteRef": "HEAD", "RemoteSha": "858e0778980076789089b8dbdda1900c50cd1501", "MD5sum": "23fb43924e3f82563a8313312d8c16fc", "_user": "mslbiostat", "_type": "src", "_file": "CKNNRLD_0.1.2.tar.gz", "_fileid": "a8e36056c1fed4dae4c79bbc4addcf636fb74d3c981613d4a9d0b5b9a9f16df3", "_filesize": 98078, "_sha256": "a8e36056c1fed4dae4c79bbc4addcf636fb74d3c981613d4a9d0b5b9a9f16df3", "_created": "2026-05-29T08:12:33.000Z", "_published": "2026-05-29T09:35:32.003Z", "_distro": "noble", "_jobs": [ { "job": 78463329581, "time": 217, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7286210169" }, { "job": 78463329555, "time": 218, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7286210410" }, { "job": 78463329577, "time": 187, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7287627398" }, { 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