{ "_id": "6ac4cb44f511ae58c09a1713", "Package": "BDPTobitQR", "Title": "Bayesian Double-Penalty Tobit Quantile Regression for\nLongitudinal Interval-Censored Data", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Shikhar\", \"Tyagi\", email = \"shikhar1093tyagi@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-1606-0844\")),\nperson(\"Arvind\", \"Pandey\", email = \"arvindmzu@gmail.com\", role = \"aut\"),\nperson(\"Bhupendra\", \"Singh\", email = \"bhupendra.rana@gmail.com\", role = \"aut\"),\nperson(\"Vrijesh\", \"Tripathi\", email = \"vrijesh.tripathi@uwi.edu\", role = \"aut\")\n)", "Author": "Shikhar Tyagi [aut, cre] (ORCID:\n), Arvind Pandey [aut],\nBhupendra Singh [aut], Vrijesh Tripathi [aut]", "Maintainer": "Shikhar Tyagi ", "Description": "Implements Bayesian Double-Penalty Tobit Quantile\nRegression methods for longitudinal interval-censored data as\nproposed by Zhao et al. (2024) .\nSupports Bayesian Tobit quantile regression with double\nadaptive Lasso penalty ('PDAL-BTQR'), double Lasso penalty\n('PDL-BTQR'), and unpenalized mixed-effects ('P-BTQR'). Handles\nleft, right, interval, and bilateral censoring schemes in\nlongitudinal and clustered structures. Includes Gibbs sampling\nalgorithms, parameter estimation, standard error computation,\nposterior credible intervals, forecast predictions, DIC, LPML,\nand diagnostic plotting. References: Tobin (1958)\n; Koenker and Bassett (1978)\n; Zou (2006)\n; Alhamzawi and Yu (2012)\n; Zhao et al. (2024)\n.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-06 10:17:27 UTC", "User": "root" }, "Repository": "https://shikhartyagi.r-universe.dev", "Date/Publication": "2026-08-06 07:00:08 UTC", "RemoteUrl": "https://github.com/cran/BDPTobitQR", "RemoteRef": "HEAD", "RemoteSha": "b73dd8594277ae971542e1799e2336f5f87e993b", "_user": "shikhartyagi", "_type": "src", "_file": "BDPTobitQR_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/3f7c0e2238f701b60686ac39b857975569211f2a9ad4ab0635981994445330d4", "_filesize": 132667, "_sha256": "3f7c0e2238f701b60686ac39b857975569211f2a9ad4ab0635981994445330d4", "_expires": "2027-01-14T10:19:46.000Z", "_created": "2026-10-06T10:17:27.000Z", "_published": "2026-10-06T10:19:48.183Z", "_jobs": [ { "job": 112220082162, "time": 105, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11405660391" }, { "job": 112220081978, "time": 106, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11404567866" }, { "job": 112220082223, "time": 98, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11404690418" }, { "job": 112220082076, "time": 87, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11405295510" }, { "job": 112218844087, "time": 198, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11404144080" }, { "job": 112220082094, "time": 78, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11404548083" }, { "job": 112220082239, "time": 53, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11404254004" }, { "job": 112220082246, "time": 72, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11405465383" }, { "job": 112220082199, "time": 75, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11403988854" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013", "_status": "success", "_upstream": "https://github.com/cran/BDPTobitQR", "_commit": { "id": "b73dd8594277ae971542e1799e2336f5f87e993b", "author": "Shikhar Tyagi ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1785999608 }, "_maintainer": { "name": "Shikhar Tyagi", "email": "shikhar1093tyagi@gmail.com", "login": "shikhartyagi", "description": "Lecturer, Department of Mathematics and Statistics, The University of the West Indies, Trinidad and Tobago. ", "uuid": 38758495, "orcid": "0000-0003-1606-0844" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-32", "n": 1 } ], "_tags": [ { "name": "0.1.0", "date": "2026-08-06" } ], "_stars": 0, "_contributors": [ { "user": "shikhartyagi", "count": 1, "uuid": 38758495 } ], "_userbio": { "uuid": 38758495, "type": "user", "name": "shikhartyagi", "followers": 0, "description": "Lecturer, Department of Mathematics and Statistics, The University of the West Indies, Trinidad and Tobago. " }, "_downloads": { "count": 246, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/BDPTobitQR" }, "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/BDPTobitQR.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf" ], "_realowner": "shikhartyagi", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2026-08-06" } ], "_exports": [ "bdp_tobit_qr", "sim_longitudinal_data" ], "_datasets": [ { "name": "crime_data", "title": "Interprovincial Longitudinal Crime Rate Dataset", "object": "crime_data", "class": [ "data.frame" ], "fields": [ "id", "year", "y", "x1", "x2", "x3", "x4", "x5", "lower", "upper" ], "rows": 217, "table": true, "tojson": true } ], "_help": [ { "page": "BDPTobitQR-package", "title": "Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data", "topics": [ "BDPTobitQR-package", "BDPTobitQR" ] }, { "page": "bdp_tobit_qr", "title": "Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data", "topics": [ "bdp_tobit_qr" ] }, { "page": "crime_data", "title": "Interprovincial Longitudinal Crime Rate Dataset", "topics": [ "crime_data" ] }, { "page": "sim_longitudinal_data", "title": "Simulate Longitudinal Interval-Censored Data", "topics": [ "sim_longitudinal_data" ] } ], "_rundeps": [], "_vignettes": [ { "source": "BDPTobitQR_vignette.Rmd", "filename": "BDPTobitQR_vignette.html", "title": "Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data", "author": "Shikhar Tyagi, Arvind Pandey, Bhupendra Singh, Vrijesh Tripathi", "engine": "knitr::rmarkdown", "headings": [ "1. Introduction", "2. Quick Start Example with Simulated Data", "3. Real-World Application: Interprovincial Crime Rate Data", "4. Forecasting & Predictions", "5. References" ], "created": "2026-08-06 07:00:08", "modified": "2026-08-06 07:00:08", "commits": 1 } ], "_score": 2, "_indexed": true, "_nocasepkg": "bdptobitqr", "_universes": [ "shikhartyagi" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-10-06T10:19:16.000Z", "distro": "resolute", "commit": "b73dd8594277ae971542e1799e2336f5f87e993b", "fileid": "https://r2.ropensci.org/cbd4c4323cff1a7876f8d6767e2ad11fbcf89d1d51fb297cea364bb34530742c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-10-06T10:19:20.000Z", "distro": "resolute", "commit": "b73dd8594277ae971542e1799e2336f5f87e993b", "fileid": "https://r2.ropensci.org/c62c2895724bc81391de0b0d419141af2aa421d637762e323d7555254f5a79fe", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013" }, { "r": "4.5.3", "os": "mac", "version": "0.1.0", "date": "2026-10-06T10:19:15.000Z", "commit": "b73dd8594277ae971542e1799e2336f5f87e993b", "fileid": "https://r2.ropensci.org/10dac3e7c6abcafd653b324699fe9d41de2ed416602cfddcc9ea83ccd0746545", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013" }, { "r": "4.6.1", "os": "mac", "version": "0.1.0", "date": "2026-10-06T10:18:58.000Z", "commit": "b73dd8594277ae971542e1799e2336f5f87e993b", "fileid": "https://r2.ropensci.org/c1db99d8f18465c6edfc8691a66915c058400dd38fb44e61156e6ceb7ce7f39f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-10-06T10:19:01.000Z", "commit": "b73dd8594277ae971542e1799e2336f5f87e993b", "fileid": "https://r2.ropensci.org/0c6ec8a4541dda1ab46a05c58352e7391044352cb7bc4a13926a23e50956e813", "status": "success", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-10-06T10:18:22.000Z", "commit": "b73dd8594277ae971542e1799e2336f5f87e993b", "fileid": "https://r2.ropensci.org/b222c0fffcf8f9c522158255c2348796c6db2100d10433d24a6d907f6e4ed0e2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013" }, { "r": "4.5.3", "os": "win", "version": "0.1.0", "date": "2026-10-06T10:18:38.000Z", "commit": "b73dd8594277ae971542e1799e2336f5f87e993b", "fileid": "https://r2.ropensci.org/d63dea9b7f6c967be2de8f14f6e39c5692db578f7dab36dfd426619083a66d5e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013" }, { "r": "4.6.1", "os": "win", "version": "0.1.0", "date": "2026-10-06T10:18:38.000Z", "commit": "b73dd8594277ae971542e1799e2336f5f87e993b", "fileid": "https://r2.ropensci.org/4b9394f80bd5e3a6de6bb48b8faf2486a557ad72f5d86ee5b2ba24b49e64b5cd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37448410013" } ] }