{ "_id": "6a26939924555f66ed51c6b5", "Package": "probe", "Type": "Package", "Title": "Sparse High-Dimensional Linear Regression with PROBE", "Version": "1.1", "Date": "2023-10-01", "Authors@R": "c(person(\"Alexander\", \"McLain\", email = \"mclaina@mailbox.sc.edu\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-5475-0670\")), person(\"Anja\", \"Zodiac\", role = c(\"aut\", \"ctb\")))", "Description": "Implements an efficient and powerful Bayesian approach for\nsparse high-dimensional linear regression. It uses minimal\nprior assumptions on the parameters through plug-in empirical\nBayes estimates of hyperparameters. An efficient\nParameter-Expanded Expectation-Conditional-Maximization\n(PX-ECM) algorithm estimates maximum a posteriori (MAP) values\nof regression parameters and variable selection probabilities.\nThe PX-ECM results in a robust computationally efficient\ncoordinate-wise optimization, which adjusts for the impact of\nother predictor variables. The E-step is motivated by the\npopular two-group approach to multiple testing. The result is a\nPaRtitiOned empirical Bayes Ecm (PROBE) algorithm applied to\nsparse high-dimensional linear regression, implemented using\none-at-a-time or all-at-once type optimization. More\ninformation can be found in McLain, Zgodic, and Bondell (2022)\n.", "BugReports": "https://github.com/alexmclain/PROBE/issues", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-08 09:59:03 UTC", "User": "root" }, "Author": "Alexander McLain [aut, cre]\n(), Anja Zodiac [aut,\nctb]", "Maintainer": "Alexander McLain ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-10-31 18:32:22 UTC", "RemoteUrl": "https://github.com/cran/probe", "RemoteRef": "HEAD", "RemoteSha": "daf6e41a460ab26892c37132d961583a01b1d930", "MD5sum": "1613e3f43779cbb32b80b029c0e07f7c", "_user": "cran", "_type": "src", "_file": "probe_1.1.tar.gz", "_fileid": "1b7556ce4facaf52727bea812d89800ae73e33e4202b1da623ac8b0a486d0ef4", "_filesize": 443445, "_sha256": "1b7556ce4facaf52727bea812d89800ae73e33e4202b1da623ac8b0a486d0ef4", "_created": "2026-06-08T09:59:03.000Z", "_published": "2026-06-08T10:04:09.799Z", "_distro": "noble", "_jobs": [ { "job": 80068579408, "time": 198, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7477101917" }, { "job": 80068579362, "time": 231, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7477112614" }, { "job": 80068579361, "time": 176, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7477094091" }, { "job": 80068579341, "time": 206, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7477103891" }, { "job": 80067996684, "time": 198, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7477026904" }, { "job": 80068579345, "time": 140, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7477078840" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/27129903952", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/probe", "_commit": { "id": "daf6e41a460ab26892c37132d961583a01b1d930", "author": "Alexander McLain ", "committer": "cran-robot ", "message": "version 1.1\n", "time": 1698777142 }, "_maintainer": { "name": "Alexander McLain", "email": "mclaina@mailbox.sc.edu", "login": "alexmclain", "orcid": "0000-0002-5475-0670", "twitter": "@AlexanderMcLai2", "description": "I have a broad range of interests that focus on estimation, prediction and inference in complex models, commonly with clustered or high-dimensional data.", "uuid": 16650997 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.00", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "Rcpp", "role": "Imports" }, { "package": "glmnet", "role": "Imports" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "alexmclain", "count": 1, "uuid": 16650997 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 150, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/probe" }, "_devurl": "https://github.com/alexmclain/probe", "_searchresults": 15, "_topics": [ "openblas", "cpp", "openmp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/probe.html", "manual.pdf" ], "_homeurl": "https://github.com/alexmclain/probe", "_realowner": "alexmclain", "_cranurl": false, "_releases": [ { "version": "1.1", "date": "2023-10-31" } ], "_exports": [ "e_step_func", "m_step_regression", "predict_probe_func", "probe", "probe_one" ], "_datasets": [ { "name": "Sim_data", "title": "Simulated high-dimensional data set for sparse linear regression", "object": "Sim_data", "file": "Sim_data.rda", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "Sim_data_cov", "title": "Simulated high-dimensional data set for sparse linear regression with non-sparse covariates.", "object": "Sim_data_cov", "file": "Sim_data_cov.rda", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "Sim_data_test", "title": "Simulated high-dimensional test data set for sparse linear regression", "object": "Sim_data_test", "file": "Sim_data_test.rda", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "probe-package", "title": "probe: Sparse High-Dimensional Linear Regression with PROBE", "topics": [ "probe-package", "_PACKAGE" ] }, { "page": "e_step_func", "title": "Function for fitting the empirical Bayes portion of the E-step", "topics": [ "e_step_func" ] }, { "page": "m_step_regression", "title": "Function for fitting the initial part of the M-step", "topics": [ "m_step_regression" ] }, { "page": "predict_probe_func", "title": "Obtaining predictions, confidence intervals and prediction intervals from probe", "topics": [ "predict_probe_func" ] }, { "page": "probe", "title": "Fitting PaRtitiOned empirical Bayes Ecm (PROBE) algorithm to sparse high-dimensional linear models.", "topics": [ "probe" ] }, { "page": "probe_one", "title": "Fitting PaRtitiOned empirical Bayes Ecm (PROBE) algorithm to sparse high-dimensional linear models.", "topics": [ "probe_one" ] }, { "page": "Sim_data", "title": "Simulated high-dimensional data set for sparse linear regression", "topics": [ "Sim_data" ] }, { "page": "Sim_data_cov", "title": "Simulated high-dimensional data set for sparse linear regression with non-sparse covariates.", "topics": [ "Sim_data_cov" ] }, { "page": "Sim_data_test", "title": "Simulated high-dimensional test data set for sparse linear regression", "topics": [ "Sim_data_test" ] } ], "_rundeps": [ "codetools", "foreach", "glmnet", "iterators", "lattice", "Matrix", "Rcpp", "RcppArmadillo", "RcppEigen", "shape", "survival" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_score": 1.1760912590556813, "_indexed": false, "_nocasepkg": "probe", "_universes": [ "cran" ], "_indexurl": "https://alexmclain.r-universe.dev/probe", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1", "date": "2026-06-08T10:02:16.000Z", "distro": "noble", "arch": "aarch64", "commit": "daf6e41a460ab26892c37132d961583a01b1d930", "fileid": "2ed0f7f7192a15263086fde7c386b3693af2d51500d286713bbb35929dcadc2b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27129903952" }, { "r": "4.7.0", "os": "linux", "version": "1.1", "date": "2026-06-08T10:02:42.000Z", "distro": "noble", "arch": "x86_64", "commit": "daf6e41a460ab26892c37132d961583a01b1d930", "fileid": "5f3bc177719c38bfbdbef1b81c5abf4c0ab9bfa105c5c036db1a9a6a53e15cf1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27129903952" }, { "r": "4.6.0", "os": "linux", "version": "1.1", "date": "2026-06-08T10:01:52.000Z", "distro": "noble", "arch": "aarch64", "commit": "daf6e41a460ab26892c37132d961583a01b1d930", "fileid": "6caaef44c5b09652a91ce96376bce16fa7944ea87d3a6c3a0fc0bf9abc615dca", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27129903952" }, { "r": "4.6.0", "os": "linux", "version": "1.1", "date": "2026-06-08T10:02:29.000Z", "distro": "noble", "arch": "x86_64", "commit": "daf6e41a460ab26892c37132d961583a01b1d930", "fileid": "c04413dd61baf3cfabab1d73daaa306087e7057ae15da45b3b83c60987df27a8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27129903952" }, { "r": "4.6.0", "os": "wasm", "version": "1.1", "date": "2026-06-08T10:02:05.000Z", "arch": "emscripten", "commit": "daf6e41a460ab26892c37132d961583a01b1d930", "fileid": "d50774a7f7836139894c113c748d4f071fb0b0d12856d6cba429701cf824f78b", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/27129903952" } ] }