{ "_id": "6a4fb0a4c30f0868bbf1e588", "Package": "BMIselect", "Title": "Bayesian MI-LASSO for Variable Selection on Multiply-Imputed\nDatasets", "Version": "1.0.4", "Authors@R": "c(person(\"Jungang\", \"Zou\", email = \"jungang.zou@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(given = \"Sijian\",\nfamily = \"Wang\",\nrole = c(\"aut\")\n),\nperson(given = \"Qixuan\",\nfamily = \"Chen\",\nrole = c(\"aut\")\n))", "Maintainer": "Jungang Zou ", "Description": "Provides a suite of Bayesian MI-LASSO for variable\nselection methods for multiply-imputed datasets. The package\nincludes four Bayesian MI-LASSO models using shrinkage\n(Multi-Laplace, Horseshoe, ARD) and Spike-and-Slab\n(Spike-and-Laplace) priors, along with tools for model fitting\nvia MCMC, four-step projection predictive variable selection,\nand hyperparameter calibration. Methods are suitable for both\ncontinuous and binary covariates under missing-at-random or\nmissing-completely-at-random assumptions. See Zou, J., Wang, S.\nand Chen, Q. (2025), Bayesian MI-LASSO for Variable Selection\non Multiply-Imputed Data. ArXiv, 2211.00114.\n for more details. We also\nprovide the frequentist MI-LASSO function.", "License": "Apache License (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-09 14:26:27 UTC", "User": "root" }, "Author": "Jungang Zou [aut, cre], Sijian Wang [aut], Qixuan Chen [aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-07-09 12:22:43 UTC", "RemoteUrl": "https://github.com/cran/BMIselect", "RemoteRef": "HEAD", "RemoteSha": "1c010c8c59722e1bb3efd400c6ff244372fac8e8", "_user": "cran", "_type": "src", "_file": "BMIselect_1.0.4.tar.gz", "_fileid": "https://r2.ropensci.org/44fa0e083a276ab7cf02b4e7d9f5026919564043b65f490641349308e9fe8b72", "_filesize": 201839, "_sha256": "44fa0e083a276ab7cf02b4e7d9f5026919564043b65f490641349308e9fe8b72", "_expires": "2026-10-17T14:30:59.000Z", "_created": "2026-07-09T14:26:27.000Z", "_published": "2026-07-09T14:31:00.610Z", "_jobs": [ { "job": 86143704518, "time": 198, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "8201412871" }, { "job": 86143704662, "time": 183, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "8201402664" }, { "job": 86143704454, "time": 186, "config": "linux-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "8201405791" }, { "job": 86143704447, "time": 185, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "8201404235" }, { "job": 86141820198, "time": 455, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "8201303081" }, { "job": 86143704325, "time": 160, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "8201390809" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/cran/actions/runs/29024873695", "_status": "success", "_upstream": "https://github.com/cran/BMIselect", "_commit": { "id": "1c010c8c59722e1bb3efd400c6ff244372fac8e8", "author": "Jungang Zou ", "committer": "cran-robot ", "message": "version 1.0.4\n", "time": 1783599763 }, "_maintainer": { "name": "Jungang Zou", "email": "jungang.zou@gmail.com", "login": "zjg540066169", "description": "I am a Ph.D. student of Biostatistics at Columbia University. My research focuses on Bayesian statistics and missing data.", "uuid": 18543895 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "Rcpp", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "Rfast", "role": "Imports" }, { "package": "foreach", "role": "Imports" }, { "package": "doParallel", "role": "Imports" }, { "package": "arm", "role": "Imports" }, { "package": "mice", "role": "Imports" }, { "package": "abind", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "posterior", "role": "Imports" }, { "package": "testthat", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2025-28", "n": 1 }, { "week": "2025-34", "n": 1 }, { "week": "2025-35", "n": 1 }, { "week": "2026-28", "n": 1 } ], "_tags": [ { "name": "1.0.2", "date": "2025-08-20" }, { "name": "1.0.3", "date": "2025-08-25" }, { "name": "1.0.4", "date": "2026-07-09" } ], "_stars": 0, "_contributors": [ { "user": "zjg540066169", "count": 4, "uuid": 18543895 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 617, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 484, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/BMIselect" }, "_searchresults": 3, "_topics": [ "openblas", "cpp", "openmp" ], "_rbuild": "4.6.1", "_assets": [ "extra/BMIselect.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "manual.pdf" ], "_homeurl": "https://github.com/zjg540066169/bmiselect", "_realowner": "zjg540066169", "_cranurl": false, "_releases": [ { "version": "1.0.1", "date": "2025-07-09" }, { "version": "1.0.2", "date": "2025-08-20" }, { "version": "1.0.3", "date": "2025-08-25" }, { "version": "1.0.4", "date": "2026-07-09" } ], "_exports": [ "ARD_mcmc", "BMI_LASSO", "horseshoe_mcmc", "MI_LASSO", "multi_laplace_mcmc", "projection_mean", "projection_posterior", "sim_A", "sim_B", "sim_C", "spike_laplace_partially_mcmc" ], "_help": [ { "page": "ARD_mcmc", "title": "ARD MCMC Sampler for Multiply-Imputed Regression", "topics": [ "ARD_mcmc" ] }, { "page": "BMI_LASSO", "title": "Bayesian MI-LASSO for Multiply-Imputed Regression", "topics": [ "BMI_LASSO" ] }, { "page": "horseshoe_mcmc", "title": "Horseshoe MCMC Sampler for Multiply-Imputed Regression", "topics": [ "horseshoe_mcmc" ] }, { "page": "MI_LASSO", "title": "Multiple-Imputation LASSO (MI-LASSO)", "topics": [ "MI_LASSO" ] }, { "page": "multi_laplace_mcmc", "title": "Multi-Laplace MCMC Sampler for Multiply-Imputed Regression", "topics": [ "multi_laplace_mcmc" ] }, { "page": "projection_mean", "title": "Projecting Posterior Means of Full-Model Coefficients onto a Reduced Subset Model", "topics": [ "projection_mean" ] }, { "page": "projection_posterior", "title": "Projection of Full-Posterior Draws onto a Reduced-Subset Model", "topics": [ "projection_posterior" ] }, { "page": "sim_A", "title": "Simulate dataset A: Independent continuous covariates with MCAR/MAR missingness", "topics": [ "sim_A" ] }, { "page": "sim_B", "title": "Simulate dataset B: AR(1)-correlated continuous covariates with MCAR/MAR missingness", "topics": [ "sim_B" ] }, { "page": "sim_C", "title": "Simulate dataset C: AR(1)-latent Gaussian dichotomized to binary covariates with MCAR/MAR missingness", "topics": [ "sim_C" ] }, { "page": "spike_laplace_partially_mcmc", "title": "Spike-and-Laplace MCMC Sampler for Multiply-Imputed Regression", "topics": [ "spike_laplace_partially_mcmc" ] } ], "_rundeps": [ "abind", "arm", "backports", "bit", "bit64", "boot", "broom", "checkmate", "cli", "clipr", "coda", "codetools", "cpp11", "crayon", "distributional", "doParallel", "dplyr", "forcats", "foreach", "generics", "glmnet", "glue", "haven", "hms", "iterators", "jomo", "lattice", "lifecycle", "lme4", "magrittr", "MASS", "Matrix", "matrixStats", "mice", "minqa", "mitml", "nlme", "nloptr", "nnet", "numDeriv", "ordinal", "pan", "pillar", "pkgconfig", "posterior", "prettyunits", "progress", "purrr", "R6", "rbibutils", "Rcpp", "RcppArmadillo", "RcppEigen", "RcppParallel", "Rdpack", "readr", "reformulas", "Rfast", "rlang", "rpart", "shape", "stringi", "stringr", "survival", "tensorA", "tibble", "tidyr", "tidyselect", "tzdb", "ucminf", "utf8", "vctrs", "vroom", "withr", "zigg" ], "_sysdeps": [ { "shlib": "liblapack", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.32+ds-5", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.32+ds-5", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "Introduction.Rmd", "filename": "Introduction.html", "title": "An Introduction to BMIselect", "author": "Jungang Zou", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Data Preparation", "Variable Selection Using Bayesian MI-LASSO", "Example of Horseshoe model", "Hyperparameters Specification", "Parallel Computing for Multiple Chains", "Frequentists MI-LASSO", "Discussion", "Disclaimer" ], "created": "2025-08-25 13:20:13", "modified": "2026-07-09 12:22:43", "commits": 2 } ], "_score": 2.6020599913279625, "_indexed": false, "_nocasepkg": "bmiselect", "_universes": [ "cran" ], "_indexurl": "https://zjg540066169.r-universe.dev/BMIselect", "_previous": "1.0.3", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.4", "date": "2026-07-09T14:29:45.000Z", "distro": "resolute", "arch": "aarch64", "commit": "1c010c8c59722e1bb3efd400c6ff244372fac8e8", "fileid": "https://r2.ropensci.org/c21c7952ce010f4deddfe565519a0dd6ba430478d023a73635d58fe218365fef", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/29024873695" }, { "r": "4.7.0", "os": "linux", "version": "1.0.4", "date": "2026-07-09T14:29:25.000Z", "distro": "resolute", "arch": "x86_64", "commit": "1c010c8c59722e1bb3efd400c6ff244372fac8e8", "fileid": "https://r2.ropensci.org/54f897459fc84aca2459d90ef167a976169de09bd9a6568b33ed06dc5d2d4c24", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/29024873695" }, { "r": "4.6.1", "os": "linux", "version": "1.0.4", "date": "2026-07-09T14:29:32.000Z", "distro": "resolute", "arch": "aarch64", "commit": "1c010c8c59722e1bb3efd400c6ff244372fac8e8", "fileid": "https://r2.ropensci.org/15b504d1ae755495f02cd432bd3a66dcc921636dfa12cec7950449a225484b99", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/29024873695" }, { "r": "4.6.1", "os": "linux", "version": "1.0.4", "date": "2026-07-09T14:29:27.000Z", "distro": "resolute", "arch": "x86_64", "commit": "1c010c8c59722e1bb3efd400c6ff244372fac8e8", "fileid": "https://r2.ropensci.org/7bd716109a18bc1ccddfa159f6528ce582bbc6f1ef7dbd3a8aad93cf40db3308", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/29024873695" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.4", "date": "2026-07-09T14:29:30.000Z", "arch": "emscripten", "commit": "1c010c8c59722e1bb3efd400c6ff244372fac8e8", "fileid": "https://r2.ropensci.org/377f9c134db266dcfc580c322690674615732bc30d2a1ec773603ae7371ed027", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/29024873695" } ] }