{ "_id": "6ac4bce8f511ae58c09a0a48", "Package": "SSVS", "Title": "Functions for Stochastic Search Variable Selection (SSVS)", "Version": "2.2.0", "Authors@R": "c(person(given=\"Sierra\",\nfamily=\"Bainter\",\nrole=c(\"cre\", \"aut\"),\nemail=\"sbainter@miami.edu\",\ncomment=c(ORCID=\"0000-0001-7461-0803\")),\nperson(given=\"Thomas\",\nfamily=\"McCauley\",\nrole=c(\"aut\"),\nemail=\"thomasgranvillemccauley@gmail.com\"),\nperson(given=\"Mahmoud\",\nfamily=\"Fahmy\",\nrole=c(\"aut\"),\nemail=\"mahmoud.m.fahm@gmail.com\"),\nperson(\"Dean\", \"Attali\",\nrole = \"aut\",\nemail = \"daattali@gmail.com\",\ncomment= c(ORCID=\"0000-0002-5645-3493\")))", "Description": "Functions for performing stochastic search variable\nselection (SSVS) for binary and continuous outcomes and\nvisualizing the results. SSVS is a Bayesian variable selection\nmethod used to estimate the probability that individual\npredictors should be included in a regression model. Using MCMC\nestimation, the method samples thousands of regression models\nin order to characterize the model uncertainty regarding both\nthe predictor set and the regression parameters. For details\nsee Bainter, McCauley, Wager, and Losin (2020) Improving\npractices for selecting a subset of important predictors in\npsychology: An application to predicting pain, Advances in\nMethods and Practices in Psychological Science 3(1), 66-80\n.", "URL": "https://github.com/sabainter/SSVS", "BugReports": "https://github.com/sabainter/SSVS/issues", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/pak/sysreqs": "make", "Repository": "https://sabainter.r-universe.dev", "Date/Publication": "2026-04-09 20:42:23 UTC", "RemoteUrl": "https://github.com/sabainter/ssvs", "RemoteRef": "HEAD", "RemoteSha": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-06 09:14:12 UTC", "User": "root" }, "Author": "Sierra Bainter [cre, aut] (ORCID:\n),\nThomas McCauley [aut],\nMahmoud Fahmy [aut],\nDean Attali [aut] (ORCID: )", "Maintainer": "Sierra Bainter ", "_user": "sabainter", "_type": "src", "_file": "SSVS_2.2.0.tar.gz", "_fileid": "https://r2.ropensci.org/9ee8bb1e18cc3d5dec0f7e62f84e9d4d511d37e832d3658d4ddbb7dc2acccc05", "_filesize": 239314, "_sha256": "9ee8bb1e18cc3d5dec0f7e62f84e9d4d511d37e832d3658d4ddbb7dc2acccc05", "_expires": "2027-01-14T09:18:30.000Z", "_created": "2026-10-06T09:14:12.000Z", "_published": "2026-10-06T09:18:32.075Z", "_jobs": [ { "job": 112196394983, "time": 169, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11401382931" }, { "job": 112196394902, "time": 175, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11402000143" }, { "job": 112196394892, "time": 217, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11402075025" }, { "job": 112196394991, "time": 180, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11401930641" }, { "job": 112194991707, "time": 220, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11401227396" }, { "job": 112196394751, "time": 132, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11401417665" }, { "job": 112196394787, "time": 138, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11400754641" }, { "job": 112196395185, "time": 100, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11401542214" }, { "job": 112196394861, "time": 98, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11401616943" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210", "_status": "success", "_upstream": "https://github.com/sabainter/ssvs", "_commit": { "id": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "author": "sabainter <53229933+sabainter@users.noreply.github.com>", "committer": "GitHub ", "message": "Merge pull request #20 from sabainter/add-forced-covariates-and-variable-specific-prior-probabilities\n\nAdded new arguments allow forced covariates with (force.in) and prior.probs to accept variable specific prior probabilities.", "time": 1775767343 }, "_maintainer": { "name": "Sierra Bainter", "email": "sbainter@miami.edu", "login": "sabainter", "description": "", "uuid": 53229933, "orcid": "0000-0001-7461-0803" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.5.0", "role": "Depends" }, { "package": "bayestestR", "role": "Imports" }, { "package": "BoomSpikeSlab", "role": "Imports" }, { "package": "checkmate", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "gridExtra", "role": "Imports" }, { "package": "AER", "role": "Suggests" }, { "package": "bslib", "role": "Suggests" }, { "package": "foreign", "role": "Suggests" }, { "package": "glue", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "mice", "role": "Suggests" }, { "package": "psych", "role": "Suggests" }, { "package": "reactable", "role": "Suggests" }, { "package": "readxl", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "scales", "role": "Suggests" }, { "package": "shiny", "role": "Suggests" }, { "package": "shinyjs", "role": "Suggests" }, { "package": "shinyWidgets", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "tools", "role": "Suggests" }, { "package": "utils", "role": "Suggests" } ], "_owner": "sabainter", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-09", "n": 1 }, { "week": "2026-15", "n": 1 } ], "_tags": [], "_stars": 9, "_contributors": [ { "user": "sabainter", "count": 73, "uuid": 53229933 }, { "user": "daattali", "count": 59, "uuid": 952340 }, { "user": "mahmoud-mfahmy", "count": 30, "uuid": 76078425 }, { "user": "smasongarrison", "count": 3, "uuid": 6001608 }, { "user": "imgbotapp", "count": 1, "uuid": 31427850 } ], "_userbio": { "uuid": 53229933, "type": "user", "name": "sabainter", "followers": 2 }, "_downloads": { "count": 447, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SSVS" }, "_devurl": "https://github.com/sabainter/ssvs", "_searchresults": 17, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/SSVS.html" ], "_homeurl": "https://github.com/sabainter/ssvs", "_realowner": "sabainter", "_cranurl": true, "_releases": [ { "version": "1.0.0", "date": "2022-03-08" }, { "version": "2.0.0", "date": "2022-05-29" }, { "version": "2.1.0", "date": "2025-03-22" }, { "version": "2.2.0", "date": "2026-04-09" } ], "_exports": [ "%>%", "launch", "ssvs", "ssvs_mi" ], "_datasets": [ { "name": "dat", "title": "Example dataset for 'ssvs' function @format A data frame with 74 records and 76 variables", "object": "dat", "class": [ "data.frame" ], "fields": [ "Age", "Assist_Used_Substances", "BFI_Agreeableness", "BFI_Conscientiousness", "BFI_Extraversion", "BFI_Neuroticism", "BFI_Openness", "BHPQ_Impact_recoded_sumofmean_corrected", "BHPQ_Incidence_corrected", "BHPQ_Intensity_mean_corrected", "BSMSS_Total_Score", "CSQ_catastrophizing", "CSQ_Catastrophizing_Postscan", "CSQ_cognitive_coping", "CSQ_Cognitive_Coping_Postscan", "CSQ_diversion", "CSQ_Diversion_Postscan", "CSQ_reinterpretation", "CSQ_Reinterpretation_Postscan", "EOD_Complaint", "EOD_Discrimination_Frequency", "EOD_Global", "EOD_Response", "EOD_Worry", "ERQ_Cognitive_Reappraisal_corrected", "ERQ_Expressive_Suppression", "Ethnicitya", "Ethnicityh", "FFMQ_Describe", "FFMQ_Observe", "FPQ_medical_pain", "FPQ_minor_pain", "FPQ_severe_pain", "HIS_Environment", "HIS_Exposure", "HIS_Fate", "HIS_Lifestyle", "HIS_Poor_Treatment", "HIS_Stress", "HIS_Supernatural_Forces", "IPI_Distractibility", "IPI_Frequency", "IPI_Mind_Wandering", "KRS", "LEC_Total", "Male", "MASQ_AA", "Mean_nac_sphere_glm", "Mean_NPS_GLM", "Mean_vmpfc_sphere_glm", "MEIM_Identity", "PANAS_Negative_Prescan", "PANAS_Positive_Prescan", "PANAS_Trait_Negative", "PANAS_Trait_Positive", "PBQ_Physical_Factors", "PBQ_Psychological_Factors", "PCS_helplessness", "PCS_magnification", "PCS_rumination", "RRS_Brooding", "RRS_Depression", "RRS_Reflection", "STAI_Total_score_corrected", "STRAIN_D_Experience", "STRAIN_D_Frequency", "STRAIN_D_Severity", "STRAIN_E_Experience", "STRAIN_E_Frequency", "STRAIN_E_Severity", "SVAS_Appearance_Similarity", "SVAS_Personal_Similarity", "TVAS", "WFPTS_Recoded", "WQ_Total_Major_Daily_YN", "Mean_Unpleasantness" ], "rows": 74, "table": true, "tojson": true }, { "name": "imputed_affairs", "title": "Imputed affairs Dataset", "object": "imputed_affairs", "class": [ "data.frame" ], "fields": [ "affairs", "gender", "age", "yearsmarried", "children", "religiousness", "education", "occupation", "rating", "hadaffair", ".imp", ".id" ], "rows": 3005, "table": true, "tojson": true }, { "name": "imputed_mtcars", "title": "Imputed mtcars Dataset", "object": "imputed_mtcars", "class": [ "data.frame" ], "fields": [ "mpg", "cyl", "disp", "hp", "drat", "wt", "qsec", "vs", "am", "gear", "carb", ".imp", ".id" ], "rows": 160, "table": true, "tojson": true } ], "_help": [ { "page": "dat", "title": "Example dataset for 'ssvs' function @format A data frame with 74 records and 76 variables", "topics": [ "dat" ] }, { "page": "imputed_affairs", "title": "Imputed affairs Dataset", "topics": [ "imputed_affairs" ] }, { "page": "imputed_mtcars", "title": "Imputed mtcars Dataset", "topics": [ "imputed_mtcars" ] }, { "page": "launch", "title": "Run an interactive analysis tool (Shiny app) that lets you perform SSVS in a browser", "topics": [ "launch" ] }, { "page": "plot.ssvs", "title": "Plot results of an SSVS model", "topics": [ "plot.ssvs" ] }, { "page": "plot.ssvs_mi", "title": "Plot SSVS-MI Estimates and Marginal Inclusion Probabilities (MIP)", "topics": [ "plot.ssvs_mi" ] }, { "page": "ssvs", "title": "Perform SSVS for continuous and binary outcomes", "topics": [ "ssvs" ] }, { "page": "ssvs_mi", "title": "Perform SSVS on Multiply Imputed Datasets", "topics": [ "ssvs_mi" ] }, { "page": "summary.ssvs", "title": "Summarize results of an SSVS model", "topics": [ "summary.ssvs" ] }, { "page": "summary.ssvs_mi", "title": "Calculate Summary Statistics for SSVS-MI Results", "topics": [ "summary.ssvs_mi" ] } ], "_pkglogo": "https://github.com/sabainter/ssvs/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/sabainter/ssvs/raw/HEAD/README.md", "_rundeps": [ "backports", "bayestestR", "Boom", "BoomSpikeSlab", "checkmate", "cli", "cpp11", "datawizard", "dplyr", "farver", "generics", "ggplot2", "glue", "gridExtra", "gtable", "insight", "isoband", "labeling", "lifecycle", "magrittr", "MASS", "pillar", "pkgconfig", "R6", "RColorBrewer", "rlang", "S7", "scales", "tibble", "tidyselect", "utf8", "vctrs", "viridisLite", "withr" ], "_score": 4.786751422145562, "_indexed": true, "_nocasepkg": "ssvs", "_universes": [ "sabainter" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.2.0", "date": "2026-10-06T09:16:42.000Z", "distro": "resolute", "commit": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "fileid": "https://r2.ropensci.org/68c37fbf4a154c3fead6ae616dac7478e4546056f6c7a8936af4d0e958479e45", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210" }, { "r": "4.6.1", "os": "linux", "version": "2.2.0", "date": "2026-10-06T09:16:56.000Z", "distro": "resolute", "commit": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "fileid": "https://r2.ropensci.org/1554a19dcc365e651cb372e9329bafc2f3f5812cee3faeed7ca8e6ed98c2e3b4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210" }, { "r": "4.5.3", "os": "mac", "version": "2.2.0", "date": "2026-10-06T09:17:16.000Z", "commit": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "fileid": "https://r2.ropensci.org/87f30df8956fb89b0a61b2f97b44c644dfcb4b5def123056f02f59fe802876eb", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210" }, { "r": "4.6.1", "os": "mac", "version": "2.2.0", "date": "2026-10-06T09:16:37.000Z", "commit": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "fileid": "https://r2.ropensci.org/5c73a20aac42803a13579537702a5143f6e52937fbff37e48090505e03cdbb59", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210" }, { "r": "4.6.0", "os": "wasm", "version": "2.2.0", "date": "2026-10-06T09:16:39.000Z", "commit": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "fileid": "https://r2.ropensci.org/1245761899ea6d5beeb86f708096adce6068398d1390c10e4c6972254b679226", "status": "success", "buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210" }, { "r": "4.7.0", "os": "win", "version": "2.2.0", "date": "2026-10-06T09:16:09.000Z", "commit": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "fileid": "https://r2.ropensci.org/788d4dcac036c34bf2bb53021c1492a51a4e974e896cefe6d87e9e51c566617d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210" }, { "r": "4.5.3", "os": "win", "version": "2.2.0", "date": "2026-10-06T09:15:41.000Z", "commit": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "fileid": "https://r2.ropensci.org/0fb0f293c39e456b7885df473284789262e862a9fc491ac4eea191bf76e03c72", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210" }, { "r": "4.6.1", "os": "win", "version": "2.2.0", "date": "2026-10-06T09:15:27.000Z", "commit": "c4238d16c32891dc1e8843be1e74a75726fbe3b9", "fileid": "https://r2.ropensci.org/8e40d21201621b9357aa8989d6e3991f3e8ff5d0dc1cc57c2e0b83a7f040af17", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/sabainter/actions/runs/37441133210" } ] }