{ "_id": "6a5c80169baadeef8ab50c6f", "Package": "DLMRMV", "Type": "Package", "Version": "1.0.0", "Title": "Distributed Linear Regression Models with Response Missing\nVariables", "Authors@R": "c(person(\"Guangbao\", \"Guo\", role = c(\"aut\", \"cre\"),\nemail = \"ggb11111111@163.com\",\ncomment = c(ORCID = \"0000-0002-4115-6218\")),\nperson(\"Limin\", \"Song\", role = \"aut\"))", "Description": "As a distributed imputation strategy, the Distributed full\ninformation Multiple Imputation method is developed to impute\nmissing response variables in distributed linear regression.\nThe philosophy of the package is described in 'Guo' (2025)\n.", "License": "Apache License (== 2.0)", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "Packaged": { "Date": "2026-07-19 07:39:41 UTC", "User": "root" }, "Config/testthat/edition": "3", "NeedsCompilation": "no", "Author": "Guangbao Guo [aut, cre] (ORCID:\n), Limin Song [aut]", "Maintainer": "Guangbao Guo ", "Repository": "https://guangbaog.r-universe.dev", "Date/Publication": "2025-07-24 04:30:16 UTC", "RemoteUrl": "https://github.com/cran/DLMRMV", "RemoteRef": "HEAD", "RemoteSha": "bdff7c731ba9c454893a31f67c6eef141d755a81", "_user": "guangbaog", "_type": "src", "_file": "DLMRMV_1.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/8bd3fd25c9e4a0b5abf872aedfd47bf0711a60a3041ae6d8f4616823ca2b0a56", "_filesize": 178658, "_sha256": "8bd3fd25c9e4a0b5abf872aedfd47bf0711a60a3041ae6d8f4616823ca2b0a56", "_expires": "2026-10-27T07:43:17.000Z", "_created": "2026-07-19T07:39:41.000Z", "_published": "2026-07-19T07:43:18.751Z", "_jobs": [ { "job": 88170174127, "time": 134, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8439768957" }, { "job": 88170174123, "time": 176, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8439775602" }, { "job": 88170174119, "time": 97, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "8439762560" }, { "job": 88170174125, "time": 98, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8439762589" }, { "job": 88169990732, "time": 156, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8439747383" }, { "job": 88170174113, "time": 111, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8439764800" }, { "job": 88170174138, "time": 80, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "8439759711" }, { "job": 88170174131, "time": 76, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "8439759387" }, { "job": 88170174135, "time": 86, "config": "windows-release", "r": "4.6.1", "check": "OK", "artifact": "8439760881" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978", "_status": "success", "_upstream": "https://github.com/cran/DLMRMV", "_commit": { "id": "bdff7c731ba9c454893a31f67c6eef141d755a81", "author": "Guangbao Guo ", "committer": "cran-robot ", "message": "version 1.0.0\n", "time": 1753331416 }, "_maintainer": { "name": "Guangbao Guo", "email": "ggb11111111@163.com", "login": "guangbaog", "description": "", "uuid": 141387511, "orcid": "0000-0002-4115-6218" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "glmnet", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-30", "n": 1 } ], "_tags": [ { "name": "1.0.0", "date": "2025-07-24" } ], "_stars": 0, "_contributors": [ { "user": "guangbaog", "count": 3, "uuid": 141387511 } ], "_userbio": { "uuid": 141387511, "type": "user", "name": "Guangbao Guo", "followers": 3 }, "_downloads": { "count": 200, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/DLMRMV" }, "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/DLMRMV.html", "manual.pdf" ], "_realowner": "guangbaog", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2025-04-08" }, { "version": "0.2.0", "date": "2025-06-24" }, { "version": "1.0.0", "date": "2025-07-24" } ], "_exports": [ "AVGM", "CSLMI", "DAVGMMI", "DCSLMI", "DERLS", "DERLS_InfoFilter", "DERLS_Woodbury", "DfiMI", "DfiMI_lasso", "DMCEM", "EMRE", "ERLS", "fiMI", "FimIMI", "GMD", "IMI", "LS", "MCEM", "PMMI", "PPLS" ], "_help": [ { "page": "AVGM", "title": "Averaged Generalized Method of Moments Imputation (AVGM)", "topics": [ "AVGM" ] }, { "page": "CSLMI", "title": "CSLMI: Consensus-based Stochastic Linear Multiple Imputation (Simplified Version)", "topics": [ "CSLMI" ] }, { "page": "DAVGMMI", "title": "Impute Missing Values in Response Variable Y Using Distributed AVGMMI Method (With Grouping)", "topics": [ "DAVGMMI" ] }, { "page": "DCSLMI", "title": "Distributed and Consensus-Based Stochastic Linear Multiple Imputation (DCSLMI)", "topics": [ "DCSLMI" ] }, { "page": "DERLS", "title": "Distributed Exponentially Weighted Recursive Least Squares (DERLS)", "topics": [ "DERLS" ] }, { "page": "DERLS_InfoFilter", "title": "Distributed Exponentially Weighted Recursive Least Squares (DERLS) using Information Filter", "topics": [ "DERLS_InfoFilter" ] }, { "page": "DERLS_Woodbury", "title": "Distributed Exponentially Weighted Recursive Least Squares (DERLS) using Woodbury Identity", "topics": [ "DERLS_Woodbury" ] }, { "page": "DfiMI", "title": "Distributed Full-information Multiple Imputation (DfiMI)", "topics": [ "DfiMI" ] }, { "page": "DfiMI_lasso", "title": "Distributed Full-information Multiple Imputation (DfiMI) using LASSO", "topics": [ "DfiMI_lasso" ] }, { "page": "DMCEM", "title": "Distributed Monte Carlo Expectation-Maximization (DMCEM) Algorithm", "topics": [ "DMCEM" ] }, { "page": "EMRE", "title": "EM Algorithm for Linear Regression with Missing Data", "topics": [ "EMRE" ] }, { "page": "ERLS", "title": "Exponentially Weighted Recursive Least Squares with Missing Value Imputation", "topics": [ "ERLS" ] }, { "page": "fiMI", "title": "fiMI: Predict Missing Response Variables using Multiple Imputation", "topics": [ "fiMI" ] }, { "page": "FimIMI", "title": "FimIMI: Multiple Runs of Improved Multiple Imputation (IMI)", "topics": [ "FimIMI" ] }, { "page": "GMD", "title": "Generate Missing Data function", "topics": [ "GMD" ] }, { "page": "IMI", "title": "Improved Multiple Imputation (IMI) Estimation", "topics": [ "IMI" ] }, { "page": "LS", "title": "Least Squares Estimation for Grouped Data with Ridge Regularization", "topics": [ "LS" ] }, { "page": "MCEM", "title": "MCEM Algorithm for Missing Response Variables", "topics": [ "MCEM" ] }, { "page": "PMMI", "title": "Predictive Mean Matching with Multiple Imputation", "topics": [ "PMMI" ] }, { "page": "PPLS", "title": "Penalized Partial Least Squares (PPLS) Estimation", "topics": [ "PPLS" ] } ], "_rundeps": [ "codetools", "foreach", "glmnet", "iterators", "lattice", "MASS", "Matrix", "Rcpp", "RcppEigen", "shape", "survival" ], "_score": 1, "_indexed": true, "_nocasepkg": "dlmrmv", "_universes": [ "guangbaog" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.0", "date": "2026-07-19T07:41:48.000Z", "distro": "resolute", "commit": "bdff7c731ba9c454893a31f67c6eef141d755a81", "fileid": "https://r2.ropensci.org/b8c1ebffb09f7a1842a46f900c78598e06e4f77afa74465dcce975687c2b020b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978" }, { "r": "4.6.1", "os": "linux", "version": "1.0.0", "date": "2026-07-19T07:42:23.000Z", "distro": "resolute", "commit": "bdff7c731ba9c454893a31f67c6eef141d755a81", "fileid": "https://r2.ropensci.org/032ad10db456ff80b377888421a1b607fc2a088a549f16c90638ef8a230b3874", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978" }, { "r": "4.5.3", "os": "mac", "version": "1.0.0", "date": "2026-07-19T07:41:13.000Z", "commit": "bdff7c731ba9c454893a31f67c6eef141d755a81", "fileid": "https://r2.ropensci.org/ec0d6b0c22c65f7e3116a138c078a2cb247fd9a13dac86fe5c087a8f5908e180", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978" }, { "r": "4.6.1", "os": "mac", "version": "1.0.0", "date": "2026-07-19T07:41:13.000Z", "commit": "bdff7c731ba9c454893a31f67c6eef141d755a81", "fileid": "https://r2.ropensci.org/edb95e39792bb6afba77a9146e2db461357d3f6346a9311528dac9fd4ed85f40", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.0", "date": "2026-07-19T07:41:46.000Z", "commit": "bdff7c731ba9c454893a31f67c6eef141d755a81", "fileid": "https://r2.ropensci.org/6a99abd974e65a53f8da3d0d8d1e9ca0c17c6ab4469f8feb28110a5cf13fdd35", "status": "success", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978" }, { "r": "4.7.0", "os": "win", "version": "1.0.0", "date": "2026-07-19T07:40:42.000Z", "commit": "bdff7c731ba9c454893a31f67c6eef141d755a81", "fileid": "https://r2.ropensci.org/168a6f6535d8ae49f15014d29c92675e54441b5cd200c59872b05f5d6ef09309", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978" }, { "r": "4.5.3", "os": "win", "version": "1.0.0", "date": "2026-07-19T07:40:40.000Z", "commit": "bdff7c731ba9c454893a31f67c6eef141d755a81", "fileid": "https://r2.ropensci.org/f551879a9ee77b4a10506e8de0cf129c1d7131117a270fdc932fa41a11d698a2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978" }, { "r": "4.6.1", "os": "win", "version": "1.0.0", "date": "2026-07-19T07:40:55.000Z", "commit": "bdff7c731ba9c454893a31f67c6eef141d755a81", "fileid": "https://r2.ropensci.org/7cc300f3129b8ed18bad66d6c412bb006b7a4ddfba1e43fa825b1674d62157c6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/29678401978" } ] }