{ "_id": "6a1fd41bb401979e7343616b", "Package": "ECLRMC", "Title": "Ensemble Correlation-Based Low-Rank Matrix Completion", "Description": "Ensemble correlation-based low-rank matrix completion\nmethod (ECLRMC) is an extension to the LRMC based methods.\nTraditionally, the LRMC based methods give identical importance\nto the whole data which results in emphasizing on the\ncommonality of the data and overlooking the subtle but crucial\ndifferences. This method aims to overcome the equality\nassumption problem that exists in the current LRMS based\nmethods. Ensemble correlation-based low-rank matrix completion\n(ECLRMC) takes consideration of the specific characteristic of\neach sample and performs LRMC on the set of samples with a\nstrong correlation. It uses an ensemble learning method to\nimprove the imputation performance. Since each sample is\nanalyzed independently this method can be parallelized by\ndistributing imputation across many computation units or GPU\nplatforms. This package provides three different methods (LRMC,\nCLRMC and ECLRMC) for data imputation. There is also an NRMS\nfunction for evaluating the result. Chen, Xiaobo, et al (2017)\n.", "Date": "2018-08-24", "Version": "1.0", "Authors@R": "c(person(given = \"Mahdi\", family = \"Ghadamyari\", role=c(\"aut\", \"cre\"), email=\"ghadamy@uwindsor.ca\"), person(given = \"Mehdi\", family = \"Naseri\", role=c(\"aut\"), email=\"naseri@uwindsor.ca\"))", "License": "GPL-2", "RoxygenNote": "6.1.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 07:09:49 UTC", "User": "root" }, "Author": "Mahdi Ghadamyari [aut, cre], Mehdi Naseri [aut]", "Maintainer": "Mahdi Ghadamyari ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2018-08-31 17:30:03 UTC", "RemoteUrl": "https://github.com/cran/ECLRMC", "RemoteRef": "HEAD", "RemoteSha": "16367d865a936917801c41a2749ab7c37a08c510", "MD5sum": "6fa94bbc1a3bfde2d9d8524f9baf8f04", "_user": "cran", "_type": "src", "_file": "ECLRMC_1.0.tar.gz", "_fileid": "f06967fb9df47b5d18e50883d00205c06103ec0b989c9f10394ad246d16cdd86", "_filesize": 80382, "_sha256": "f06967fb9df47b5d18e50883d00205c06103ec0b989c9f10394ad246d16cdd86", "_created": "2026-06-03T07:09:49.000Z", "_published": "2026-06-03T07:13:31.540Z", "_distro": "noble", "_jobs": [ { "job": 79240756239, "time": 186, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7378006046" }, { "job": 79240756249, "time": 113, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7377985483" }, { "job": 79240409835, "time": 148, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7377951774" }, { "job": 79240756288, "time": 87, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7377977582" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26869304815", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/ECLRMC", "_commit": { "id": "16367d865a936917801c41a2749ab7c37a08c510", "author": "Mahdi Ghadamyari ", "committer": "cran-robot ", "message": "version 1.0\n", "time": 1535736603 }, "_maintainer": { "name": "Mahdi Ghadamyari", "email": "ghadamy@uwindsor.ca" }, "_registered": true, "_dependencies": [ { "package": "softImpute", "role": "Depends" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 43, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ECLRMC" }, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/ECLRMC.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2018-08-31" } ], "_exports": [ "CLRMC", "ECLRMC", "LRMC", "NRMS" ], "_help": [ { "page": "CLRMC", "title": "Takes an incomplete matrix and returns the imputed matrix using CLRMC method.", "topics": [ "CLRMC" ] }, { "page": "ECLRMC", "title": "Takes an incomplete matrix and returns the imputed matrix using ECLRMC method.", "topics": [ "ECLRMC" ] }, { "page": "LRMC", "title": "Takes an incomplete matrix and returns the imputed matrix using LRMC method.", "topics": [ "LRMC" ] }, { "page": "NRMS", "title": "Normalized Root Mean Square (NRMS) value of two matrices for evaluating their similarity (lower is better)", "topics": [ "NRMS" ] } ], "_readme": "https://github.com/cran/ECLRMC/raw/HEAD/README.md", "_rundeps": [ "lattice", "Matrix", "softImpute" ], "_score": 1.6989700043360187, "_indexed": true, "_nocasepkg": "eclrmc", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0", "date": "2026-06-03T07:12:51.000Z", "distro": "noble", "commit": "16367d865a936917801c41a2749ab7c37a08c510", "fileid": "634f07ae0601f11b8a7219f8966e7c6b0ea9965bf064b7a2a3b63995cb0d90a3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26869304815" }, { "r": "4.6.0", "os": "linux", "version": "1.0", "date": "2026-06-03T07:11:39.000Z", "distro": "noble", "commit": "16367d865a936917801c41a2749ab7c37a08c510", "fileid": "60e949a4cb9b63186a98730462b05c56ad2aff84c1e55421e4368b2f6a3c91e2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26869304815" }, { "r": "4.6.0", "os": "wasm", "version": "1.0", "date": "2026-06-03T07:11:36.000Z", "commit": "16367d865a936917801c41a2749ab7c37a08c510", "fileid": "a9d882fef52c87690e50852fa7b88b6ade425ad611e448bfb60e9b60061b652f", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26869304815" } ] }