{ "_id": "6a1428f1acfb0bcc41d4040a", "Package": "saeHB.twofold", "Type": "Package", "Title": "Hierarchical Bayes Twofold Subarea Level Model SAE", "Version": "0.1.0", "Authors@R": "c(person(given = \"Reyhan\",family = \"Saadi\",role = c(\"aut\",\"cre\"),email = \"221810557@stis.ac.id\"), person(given = \"Azka\",family = \"Ubaidillah\",role = \"aut\"))", "Maintainer": "Reyhan Saadi <221810557@stis.ac.id>", "Description": "We designed this package to provides several functions for\narea and subarea level of small area estimation under Twofold\nSubarea Level Model using hierarchical Bayesian (HB) method\nwith Univariate Normal distribution for variables of interest.\nSome dataset simulated by a data generation are also provided.\nThe 'rjags' package is employed to obtain parameter estimates\nusing Gibbs Sampling algorithm. Model-based estimators involves\nthe HB estimators which include the mean, the variation of\nmean, and the quantile. For the reference, see Rao and Molina\n(2015) , Torabi and Rao (2014)\n, Leyla Mohadjer et al.(2007)\n,\nand Erciulescu et al.(2019) .", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.2", "SystemRequirements": "JAGS (http://mcmc-jags.sourceforge.net)", "VignetteBuilder": "knitr", "URL": "https://github.com/reymath99/saeHB.twofold", "BugReports": "https://github.com/reymath99/saeHB.twofold/issues", "Config/pak/sysreqs": "jags libicu-dev", "Repository": "https://reymath99.r-universe.dev", "Date/Publication": "2022-04-11 05:21:13 UTC", "RemoteUrl": "https://github.com/reymath99/saehb.twofold", "RemoteRef": "HEAD", "RemoteSha": "d3ac49449a431f312147994c1233f0dbade3086d", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 10:45:26 UTC", "User": "root" }, "Author": "Reyhan Saadi [aut, cre],\nAzka Ubaidillah [aut]", "MD5sum": "d2ce609af0fd9ab75c9e15e9fe81a61e", "_user": "reymath99", "_type": "src", "_file": "saeHB.twofold_0.1.0.tar.gz", "_fileid": "4656749eb4a9e6c938c7a4df58fd94247300db062fb03c503468a9dd0cf139dd", "_filesize": 194013, "_sha256": "4656749eb4a9e6c938c7a4df58fd94247300db062fb03c503468a9dd0cf139dd", "_created": "2026-05-25T10:45:26.000Z", "_published": "2026-05-25T10:48:17.652Z", "_distro": "noble", "_jobs": [ { "job": 77698404840, "time": 131, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7196692063" }, { "job": 77698404793, "time": 100, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7196687083" }, { "job": 77698404818, "time": 90, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7196684409" }, { "job": 77698404836, "time": 82, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7196682609" }, { "job": 77697980996, "time": 197, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7196661506" }, { "job": 77698404783, "time": 113, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7196689900" }, { "job": 77698404819, "time": 92, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7196685952" }, { "job": 77698404781, "time": 131, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7196690070" }, { "job": 77698404803, "time": 84, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7196683151" } ], "_buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/reymath99/saehb.twofold", "_commit": { "id": "d3ac49449a431f312147994c1233f0dbade3086d", "author": "reymath99 ", "committer": "reymath99 ", "message": "1. Fix potential missunderstanding on description file\n2. Fix how to calculate estimator aggregation at area level\n3. Fix how to calculate standar deviation of area level estimator\n4. fix how to call output from function especially when we try to call refvar (from \"refvar\" to \"refVar\")\n5. Soon to be uploaded in cran (version 0.2.0)\n", "time": 1649654473 }, "_maintainer": { "name": "Reyhan Saadi", "email": "221810557@stis.ac.id" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "rjags", "role": "Imports" }, { "package": "coda", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "data.table", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "saeHB", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "reymath99", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_contributors": [ { "user": "reymath99", "count": 14, "uuid": 74490280 } ], "_userbio": { "uuid": 74490280, "type": "user", "name": "reymath99" }, "_downloads": { "count": 194, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/saeHB.twofold" }, "_devurl": "https://github.com/reymath99/saehb.twofold", "_searchresults": 3, "_topics": [ "jags", "cpp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/readme.html", "extra/readme.md", "extra/saeHB.twofold.html", "manual.pdf" ], "_homeurl": "https://github.com/reymath99/saehb.twofold", "_realowner": "reymath99", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2022-02-28" }, { "version": "0.1.1", "date": "2022-05-09" }, { "version": "0.1.2", "date": "2024-11-28" } ], "_exports": [ "NormalTF" ], "_datasets": [ { "name": "dataTwofold", "title": "Simulated dataset Under Two Fold Subarea level model with Normal distribution.", "object": "dataTwofold", "class": [ "data.frame" ], "fields": [ "y", "x1", "x2", "codearea", "w", "vardir" ], "rows": 90, "table": true, "tojson": true }, { "name": "dataTwofoldNS", "title": "Simulated dataset Under Two Fold Subarea level model with Normal distribution and Non-sampled subarea", "object": "dataTwofoldNS", "class": [ "data.frame" ], "fields": [ "y", "x1", "x2", "codearea", "w", "vardir" ], "rows": 90, "table": true, "tojson": true } ], "_help": [ { "page": "dataTwofold", "title": "Simulated dataset Under Two Fold Subarea level model with Normal distribution.", "topics": [ "dataTwofold" ] }, { "page": "dataTwofoldNS", "title": "Simulated dataset Under Two Fold Subarea level model with Normal distribution and Non-sampled subarea", "topics": [ "dataTwofoldNS" ] }, { "page": "NormalTF", "title": "Small Area Estimation Using Hierarchical Bayesian Method under Twofold Subarea Level Model with Normal distribution", "topics": [ "NormalTF" ] }, { "page": "saeHB.twofold", "title": "saeHB.twofold : Small Area Estimation Under Twofold Subarea Level Model Using Hierarchical Bayesian Method", "topics": [ "saeHB.twofold" ] } ], "_readme": "https://github.com/reymath99/saehb.twofold/raw/HEAD/README.md", "_rundeps": [ "cli", "coda", "data.table", "glue", "lattice", "lifecycle", "magrittr", "rjags", "rlang", "stringi", "stringr", "vctrs" ], "_sysdeps": [ { "shlib": "libjags", "package": "jags", "headers": "jags", "source": "jags", "version": "4.3.2-2.2404.0", "name": "jags", "homepage": "https://mcmc-jags.sourceforge.io", "description": "Just Another Gibbs Sampler for Bayesian MCMC - binary\nJAGS is Just Another Gibbs Sampler. It is a program for analysis of\nBayesian hierarchical models using Markov Chain Monte Carlo (MCMC)\nsimulation not wholly unlike BUGS.\n\nJAGS was written with three aims in mind:\n* To have an engine for the BUGS language that runs on Unix\n* To be extensible, allowing users to write their own functions,\ndistributions and samplers.\n* To be a plaftorm for experimentation with ideas in Bayesian modelling\n\nThis package contains the 'jags' binary as well as the associated\nshared library modules loaded by the binary." }, { "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" } ], "_vignettes": [ { "source": "Twofold.Rmd", "filename": "Twofold.html", "title": "An Application to HB Twofold Normal Model On sampel dataset", "engine": "knitr::rmarkdown", "headings": [ "FIRST STEPS: Load package and load the data", "STEPS 2: Fitting HB Model", "STEP 3 Extract mean estimation", "Subarea Estimation", "Area Estimatio", "Coefficient Estimation", "Random effect variance estimation", "STEP 3 : Extract CV and MSE Subarea", "STEP 4 Extract CV and MSE of Area", "STEP 5 : You can also compare the CV between subarea direct estimator and HB Twofold estimator" ], "created": "2022-02-09 04:21:21", "modified": "2022-04-11 05:21:13", "commits": 4 } ], "_score": 3.6989700043360187, "_indexed": true, "_nocasepkg": "saehb.twofold", "_universes": [ "reymath99" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-05-25T10:47:29.000Z", "distro": "noble", "commit": "d3ac49449a431f312147994c1233f0dbade3086d", "fileid": "12fd7bb05f94d9b43b97f933879224556479030151f9aa21b2b8d69d0789af6b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-05-25T10:47:15.000Z", "distro": "noble", "commit": "d3ac49449a431f312147994c1233f0dbade3086d", "fileid": "5ba3aa6e31cebe44eaee1a113f0ba51d4b10aa583b47a8525661aee364a4b8ef", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621" }, { "r": "4.5.3", "os": "mac", "version": "0.1.0", "date": "2026-05-25T10:47:02.000Z", "commit": "d3ac49449a431f312147994c1233f0dbade3086d", "fileid": "fb19b05184299668bcce142f576a9a7a4fd36d2032e08134d49702a8bcd2578a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621" }, { "r": "4.6.0", "os": "mac", "version": "0.1.0", "date": "2026-05-25T10:46:58.000Z", "commit": "d3ac49449a431f312147994c1233f0dbade3086d", "fileid": "c8873bbf89e670ed657bb5e3b7fb0bc3f1f4bfeaead42e37cfcb924157760ba9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-05-25T10:47:37.000Z", "commit": "d3ac49449a431f312147994c1233f0dbade3086d", "fileid": "9d22ae1a64873c06d094f1f211f555b0766a5e612308d4164ab4cc406a47c053", "status": "success", "buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-05-25T10:47:02.000Z", "commit": "d3ac49449a431f312147994c1233f0dbade3086d", "fileid": "130e97469e569833e5cfc406640fdd2afda30dcc6107d20e690ae3d68065de64", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621" }, { "r": "4.5.3", "os": "win", "version": "0.1.0", "date": "2026-05-25T10:47:16.000Z", "commit": "d3ac49449a431f312147994c1233f0dbade3086d", "fileid": "4e27470597df795ebdf613e8fd2b2ef90b15dccaf54546b479cad0576d1edbcd", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621" }, { "r": "4.6.0", "os": "win", "version": "0.1.0", "date": "2026-05-25T10:46:49.000Z", "commit": "d3ac49449a431f312147994c1233f0dbade3086d", "fileid": "65419475fce2f49121c8e91b68fd2b95c11ce999027a91ad9b0f0cceae4b019a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/reymath99/actions/runs/26396385621" } ] }