{ "_id": "6a2670a1794753ddbc3ea497", "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": "2026-06-08 07:30:04 UTC", "User": "root" }, "Author": "Sierra Bainter [cre, aut] (ORCID:\n),\nThomas McCauley [aut],\nMahmoud Fahmy [aut],\nDean Attali [aut] (ORCID: )", "Maintainer": "Sierra Bainter ", "MD5sum": "ae6813e55a873ce31072e6610f175636", "_user": "sabainter", "_type": "src", "_file": "SSVS_2.2.0.tar.gz", "_fileid": "5e28e895c0dcb46ecc1cdc0b912ddad5a86f747cf4e5e9c207891d431b2572f7", "_filesize": 235781, "_sha256": "5e28e895c0dcb46ecc1cdc0b912ddad5a86f747cf4e5e9c207891d431b2572f7", "_created": "2026-06-08T07:30:04.000Z", "_published": "2026-06-08T07:34:57.094Z", "_distro": "noble", "_jobs": [ { "job": 80043104440, "time": 175, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7473991209" }, { "job": 80043104439, "time": 237, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7474009461" }, { "job": 80043104442, "time": 194, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7473990124" }, { "job": 80043104462, "time": 174, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7473986096" }, { "job": 80042432569, "time": 267, "config": "source", "r": "4.6.0", 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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" }, "_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": 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