{ "_id": "6a48af50e06c18f0a6546bc8", "Package": "msaenet", "Type": "Package", "Title": "Multi-Step Adaptive Estimation Methods for Sparse Regressions", "Version": "3.1.2.9000", "Authors@R": "c(\nperson(\"Nan\", \"Xiao\", email = \"me@nanx.me\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-0250-5673\")),\nperson(\"Qing-Song\", \"Xu\", email = \"qsxu@csu.edu.cn\", role = c(\"aut\")))", "Maintainer": "Nan Xiao ", "Description": "Multi-step adaptive elastic-net (MSAENet) algorithm for\nfeature selection in high-dimensional regressions proposed in\nXiao and Xu (2015) , with\nsupport for multi-step adaptive MCP-net (MSAMNet) and\nmulti-step adaptive SCAD-net (MSASNet) methods.", "License": "GPL (>= 3)", "URL": "https://nanx.me/msaenet/, https://github.com/nanxstats/msaenet", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "BugReports": "https://github.com/nanxstats/msaenet/issues", "RoxygenNote": "7.3.2", "Repository": "https://nanxstats.r-universe.dev", "Date/Publication": "2024-07-21 18:47:53 UTC", "RemoteUrl": "https://github.com/nanxstats/msaenet", "RemoteRef": "HEAD", "RemoteSha": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-04 06:27:00 UTC", "User": "root" }, "Author": "Nan Xiao [aut, cre] (ORCID: ),\nQing-Song Xu [aut]", "_user": "nanxstats", "_type": "src", "_file": "msaenet_3.1.2.9000.tar.gz", "_fileid": "https://r2.ropensci.org/9b027f1e81da2aba870f43a394e22fd779bf9eac60c9c77a50bf94bc9dba31e6", "_filesize": 1153615, "_sha256": "9b027f1e81da2aba870f43a394e22fd779bf9eac60c9c77a50bf94bc9dba31e6", "_expires": "2026-10-12T06:59:26.000Z", "_created": "2026-07-04T06:27:00.000Z", "_published": "2026-07-04T06:59:28.526Z", "_jobs": [ { "job": 85110142029, "time": 147, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8079144547" }, { "job": 85110142035, "time": 146, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8079144402" }, { "job": 85110142034, "time": 83, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "8079349138" }, { "job": 85110142033, "time": 128, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8079356715" }, { "job": 85109956055, "time": 178, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8079126279" }, { "job": 85110142032, "time": 161, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8079146025" }, { "job": 85110142031, "time": 98, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "8079138893" }, { "job": 85110142027, "time": 119, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "8079141193" }, { "job": 85110142030, "time": 104, "config": "windows-release", "r": "4.6.1", "check": "OK", "artifact": "8079139364" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621", "_status": "success", "_upstream": "https://github.com/nanxstats/msaenet", "_commit": { "id": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "author": "Nan Xiao ", "committer": "Nan Xiao ", "message": "Start next version\n", "time": 1721587673 }, "_maintainer": { "name": "Nan Xiao", "email": "me@nanx.me", "login": "nanxstats", "bluesky": "@nanxstats.bsky.social", "linkedin": "in/nanxstats", "twitter": "@nanxstats", "description": "Statistician", "uuid": 199363, "orcid": "0000-0002-0250-5673" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.0.2", "role": "Depends" }, { "package": "Matrix", "role": "Imports" }, { "package": "foreach", "role": "Imports" }, { "package": "glmnet", "role": "Imports" }, { "package": "mvtnorm", "role": "Imports" }, { "package": "ncvreg", "version": ">= 3.8-0", "role": "Imports" }, { "package": "survival", "role": "Imports" }, { "package": "doParallel", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "nanxstats", "_selfowned": true, "_usedby": 6, "_updates": [], "_tags": [], "_topics": [ "false-positive-control", "high-dimensional-data", "linear-regression", "machine-learning", "variable-selection" ], "_stars": 13, "_contributors": [ { "user": "nanxstats", "count": 175, "uuid": 199363 } ], "_userbio": { "uuid": 199363, "type": "user", "name": "Nan Xiao", "followers": 805, "description": "Statistician" }, "_downloads": { "count": 3056, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/msaenet" }, "_mentions": 1, "_devurl": "https://github.com/nanxstats/msaenet", "_pkgdown": "https://nanx.me/msaenet/", "_searchresults": 65, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/msaenet.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/nanxstats/msaenet", "_realowner": "nanxstats", "_cranurl": true, "_releases": [ { "version": "1.0", "date": "2016-09-20" }, { "version": "1.1", "date": "2016-12-29" }, { "version": "2.0", "date": "2017-01-05" }, { "version": "2.1", "date": "2017-01-15" }, { "version": "2.2", "date": "2017-02-02" }, { "version": "2.3", "date": "2017-02-10" }, { "version": "2.4", "date": "2017-02-18" }, { "version": "2.5", "date": "2017-03-25" }, { "version": "2.6", "date": "2017-04-24" }, { "version": "2.7", "date": "2017-09-24" }, { "version": "2.8", "date": "2018-01-05" }, { "version": "2.9", "date": "2018-05-14" }, { "version": "3.0", "date": "2018-12-14" }, { "version": "3.1", "date": "2019-05-17" }, { "version": "3.1.1", "date": "2024-03-04" }, { "version": "3.1.2", "date": "2024-05-11" } ], "_exports": [ "aenet", "amnet", "asnet", "msaenet", "msaenet.fn", "msaenet.fp", "msaenet.mae", "msaenet.mse", "msaenet.nzv", "msaenet.nzv.all", "msaenet.rmse", "msaenet.rmsle", "msaenet.sim.binomial", "msaenet.sim.cox", "msaenet.sim.gaussian", "msaenet.sim.poisson", "msaenet.tp", "msamnet", "msasnet" ], "_help": [ { "page": "aenet", "title": "Adaptive Elastic-Net", "topics": [ "aenet" ] }, { "page": "amnet", "title": "Adaptive MCP-Net", "topics": [ "amnet" ] }, { "page": "asnet", "title": "Adaptive SCAD-Net", "topics": [ "asnet" ] }, { "page": "coef.msaenet", "title": "Extract Model Coefficients", "topics": [ "coef.msaenet" ] }, { "page": "msaenet", "title": "Multi-Step Adaptive Elastic-Net", "topics": [ "msaenet" ] }, { "page": "msaenet.fn", "title": "Get the Number of False Negative Selections", "topics": [ "msaenet.fn" ] }, { "page": "msaenet.fp", "title": "Get the Number of False Positive Selections", "topics": [ "msaenet.fp" ] }, { "page": "msaenet.mae", "title": "Mean Absolute Error (MAE)", "topics": [ "msaenet.mae" ] }, { "page": "msaenet.mse", "title": "Mean Squared Error (MSE)", "topics": [ "msaenet.mse" ] }, { "page": "msaenet.nzv", "title": "Get Indices of Non-Zero Variables", "topics": [ "msaenet.nzv" ] }, { "page": "msaenet.nzv.all", "title": "Get Indices of Non-Zero Variables in All Steps", "topics": [ "msaenet.nzv.all" ] }, { "page": "msaenet.rmse", "title": "Root Mean Squared Error (RMSE)", "topics": [ "msaenet.rmse" ] }, { "page": "msaenet.rmsle", "title": "Root Mean Squared Logarithmic Error (RMSLE)", "topics": [ "msaenet.rmsle" ] }, { "page": "msaenet.sim.binomial", "title": "Generate Simulation Data for Benchmarking Sparse Regressions (Binomial Response)", "topics": [ "msaenet.sim.binomial" ] }, { "page": "msaenet.sim.cox", "title": "Generate Simulation Data for Benchmarking Sparse Regressions (Cox Model)", "topics": [ "msaenet.sim.cox" ] }, { "page": "msaenet.sim.gaussian", "title": "Generate Simulation Data for Benchmarking Sparse Regressions (Gaussian Response)", "topics": [ "msaenet.sim.gaussian" ] }, { "page": "msaenet.sim.poisson", "title": "Generate Simulation Data for Benchmarking Sparse Regressions (Poisson Response)", "topics": [ "msaenet.sim.poisson" ] }, { "page": "msaenet.tp", "title": "Get the Number of True Positive Selections", "topics": [ "msaenet.tp" ] }, { "page": "msamnet", "title": "Multi-Step Adaptive MCP-Net", "topics": [ "msamnet" ] }, { "page": "msasnet", "title": "Multi-Step Adaptive SCAD-Net", "topics": [ "msasnet" ] }, { "page": "plot.msaenet", "title": "Plot msaenet Model Objects", "topics": [ "plot.msaenet" ] }, { "page": "predict.msaenet", "title": "Make Predictions from an msaenet Model", "topics": [ "predict.msaenet" ] }, { "page": "print.msaenet", "title": "Print msaenet Model Information", "topics": [ "print.msaenet" ] } ], "_pkglogo": "https://github.com/nanxstats/msaenet/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/nanxstats/msaenet/raw/HEAD/README.md", "_rundeps": [ "codetools", "foreach", "glmnet", "iterators", "lattice", "Matrix", "mvtnorm", "ncvreg", "Rcpp", "RcppEigen", "shape", "survival" ], "_vignettes": [ { "source": "msaenet.Rmd", "filename": "msaenet.html", "title": "A Quick Introduction to msaenet", "author": "Nan Xiao ", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Walkthrough", "Summary", "References" ], "created": "2016-09-20 04:34:00", "modified": "2024-05-10 20:12:59", "commits": 14 } ], "_score": 7.366252568292669, "_indexed": true, "_nocasepkg": "msaenet", "_universes": [ "nanxstats" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "3.1.2.9000", "date": "2026-07-04T06:29:08.000Z", "distro": "resolute", "commit": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "fileid": "https://r2.ropensci.org/cb4214f8a48784e398091b02386d29321fee98624debdfd74e30b55849f392df", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621" }, { "r": "4.6.1", "os": "linux", "version": "3.1.2.9000", "date": "2026-07-04T06:29:13.000Z", "distro": "resolute", "commit": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "fileid": "https://r2.ropensci.org/ac5326495c54dc8d652aa1797f2b64547b2f6cf3a3e40eb190c7317ac60bf0ca", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621" }, { "r": "4.5.3", "os": "mac", "version": "3.1.2.9000", "date": "2026-07-04T06:58:11.000Z", "commit": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "fileid": "https://r2.ropensci.org/e07a9bb097f2c0ff038d56930ece896fc6fa2b09919148793bb0ff640f0654af", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621" }, { "r": "4.6.1", "os": "mac", "version": "3.1.2.9000", "date": "2026-07-04T06:58:32.000Z", "commit": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "fileid": "https://r2.ropensci.org/c531f3895e79c1e0b5e63c8d84e333857e1637a04bd6b665ffeb806e2f7e2536", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621" }, { "r": "4.6.0", "os": "wasm", "version": "3.1.2.9000", "date": "2026-07-04T06:30:02.000Z", "commit": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "fileid": "https://r2.ropensci.org/def28d8a227bedffa7235c3e0fe4ccb2843a2a8cdc50fb8e8614fd79559bb59a", "status": "success", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621" }, { "r": "4.7.0", "os": "win", "version": "3.1.2.9000", "date": "2026-07-04T06:28:13.000Z", "commit": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "fileid": "https://r2.ropensci.org/a5f0489d9dd23554c04fa73fc7250030dfd48ed8a27d52537e4d3b97a74a7b8b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621" }, { "r": "4.5.3", "os": "win", "version": "3.1.2.9000", "date": "2026-07-04T06:28:29.000Z", "commit": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "fileid": "https://r2.ropensci.org/e83670835328bff9da93aa695f62faef50fe9d1c10841d88d4feb694c4bd9b06", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621" }, { "r": "4.6.1", "os": "win", "version": "3.1.2.9000", "date": "2026-07-04T06:28:14.000Z", "commit": "8cb5ef6ffc4ed691fa5a6b611f0cbeec836010c9", "fileid": "https://r2.ropensci.org/f3062b25a035873c078e5a05abdd06f5937c66bdf7a5ebc6cf4cc0ec20c2a17a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/nanxstats/actions/runs/28697614621" } ] }