{ "_id": "6a0f78a2acfb0bcc41c624f1", "Package": "SDGLM", "Title": "Scalable Bayesian Inference for Dynamic Generalized Linear\nModels", "Version": "0.4.0", "Authors@R": "c(person(\"Guangbao\", \"Guo\", role = c(\"aut\", \"cre\"),\nemail = \"ggb11111111@163.com\"),\nperson(\"X. Meggie\", \"Wen\", role = \"aut\"),\nperson(\"Lixing\", \"Zhu\", role = \"aut\"))", "Description": "Implements scalable Markov chain Monte Carlo (Sca-MCMC)\nalgorithms for Bayesian inference in dynamic generalized linear\nmodels (DGLMs). The package supports Pareto-type and Gamma-type\nDGLMs, which are suitable for modeling heavy-tailed phenomena\nsuch as wealth allocation and financial returns. It provides\nsimulation tools for synthetic DGLM data, adaptive\nmutation-rate strategies (ScaI, ScaII, ScaIII), geometric\ntemperature ladders for parallel tempering, and posterior\npredictive evaluation metrics (e.g., R2, RMSE). The methodology\nis based on the scalable MCMC framework described in Guo et al.\n(2025).", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Author": "Guangbao Guo [aut, cre], X. Meggie Wen [aut], Lixing Zhu [aut]", "Maintainer": "Guangbao Guo ", "Packaged": { "Date": "2026-05-21 05:52:33 UTC", "User": "root" }, "Repository": "https://guangbaog.r-universe.dev", "Date/Publication": "2026-01-20 10:50:11 UTC", "RemoteUrl": "https://github.com/cran/SDGLM", "RemoteRef": "HEAD", "RemoteSha": "22b1b91d817b8227304defcf794568beb0fc68d4", "MD5sum": "3e651c419097f46e61851fa7a4599268", "_user": "guangbaog", "_type": "src", "_file": "SDGLM_0.4.0.tar.gz", "_fileid": "3a9428d814d29ed209ed9a9daf669f487f7fc530d4a31c2cfceb4e199f998c1e", "_filesize": 126091, "_sha256": "3a9428d814d29ed209ed9a9daf669f487f7fc530d4a31c2cfceb4e199f998c1e", "_created": "2026-05-21T05:52:33.000Z", "_published": "2026-05-21T21:26:58.153Z", "_distro": "noble", "_jobs": [ { "job": 77272106016, "time": 108, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7128257886" }, { "job": 77272105936, "time": 106, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7128257416" }, { "job": 77272105849, "time": 68, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7128249317" }, { "job": 77272105901, "time": 105, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7128256923" }, { "job": 77272105467, "time": 165, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7128235333" }, { "job": 77272105350, "time": 89, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7147590213" }, { "job": 77272105885, "time": 70, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7128249715" }, { "job": 77272106300, "time": 79, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7128251940" }, { "job": 77272105889, "time": 89, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7128253887" } ], "_buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/SDGLM", "_commit": { "id": "22b1b91d817b8227304defcf794568beb0fc68d4", "author": "Guangbao Guo ", "committer": "cran-robot ", "message": "version 0.4.0\n", "time": 1768906211 }, "_maintainer": { "name": "Guangbao Guo", "email": "ggb11111111@163.com", "login": "guangbaog", "description": "", "uuid": 141387511 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-04", "n": 1 } ], "_tags": [ { "name": "0.4.0", "date": "2026-01-20" } ], "_stars": 0, "_contributors": [ { "user": "guangbaog", "count": 1, "uuid": 141387511 } ], "_userbio": { "uuid": 141387511, "type": "user", "name": "Guangbao Guo" }, "_downloads": { "count": 154, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SDGLM" }, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/SDGLM.html", "manual.pdf" ], "_realowner": "guangbaog", "_cranurl": false, "_releases": [ { "version": "0.4.0", "date": "2026-01-20" } ], "_exports": [ "compute_metrics", "compute_mutation_rate", "dglm_likelihood", "generate_temperature", "geoTemp", "hamming_distance", "mutRate", "print.SDGLM", "print.summary.SDGLM", "rinvwishart", "sca_mcmc", "sca_mcmc1", "simGamma", "simPareto", "simPoisBin", "summary.SDGLM" ], "_help": [ { "page": "compute_metrics", "title": "Posterior-Predictive Metrics for Sca-MCMC Fit", "topics": [ "compute_metrics" ] }, { "page": "compute_mutation_rate", "title": "Compute Scalable Mutation-Rate Vector", "topics": [ "compute_mutation_rate" ] }, { "page": "dglm_likelihood", "title": "Calculate Log-Likelihood for DGLM", "topics": [ "dglm_likelihood" ] }, { "page": "generate_temperature", "title": "Generate Geometric Inverse-Temperature Ladder Constructs a geometric sequence of temperatures (inverse temperatures) for parallel-tempering MCMC.", "topics": [ "generate_temperature" ] }, { "page": "geoTemp", "title": "Generate Geometric Temperature Ladder for Parallel Tempering", "topics": [ "geoTemp" ] }, { "page": "hamming_distance", "title": "Normalized Hamming Distance", "topics": [ "hamming_distance" ] }, { "page": "mutRate", "title": "Scalable Mutation-Rate Strategies for Sca-MCMC", "topics": [ "mutRate" ] }, { "page": "print.SDGLM", "title": "Print method for SDGLM objects", "topics": [ "print.SDGLM" ] }, { "page": "print.summary.SDGLM", "title": "Print method for summary.SDGLM", "topics": [ "print.summary.SDGLM" ] }, { "page": "rinvwishart", "title": "Generate Random Samples from the Inverse Wishart Distribution", "topics": [ "rinvwishart" ] }, { "page": "sca_mcmc", "title": "Scalable MCMC for Dynamic GLMs", "topics": [ "sca_mcmc" ] }, { "page": "sca_mcmc1", "title": "Alternative Sca-MCMC Implementation for Variable Selection", "topics": [ "sca_mcmc1" ] }, { "page": "simGamma", "title": "Simulate Gamma Dynamic GLM", "topics": [ "simGamma" ] }, { "page": "simPareto", "title": "Simulate Pareto-type Dynamic GLM", "topics": [ "simPareto" ] }, { "page": "simPoisBin", "title": "Simulate Poisson-Binomial Dynamic GLM", "topics": [ "simPoisBin" ] }, { "page": "summary.SDGLM", "title": "Summary method for SDGLM objects", "topics": [ "summary.SDGLM" ] } ], "_rundeps": [ "MASS" ], "_score": 1, "_indexed": true, "_nocasepkg": "sdglm", "_universes": [ "guangbaog" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.4.0", "date": "2026-05-21T05:54:24.000Z", "distro": "noble", "commit": "22b1b91d817b8227304defcf794568beb0fc68d4", "fileid": "7242ea22654c3eee28ea2ee98c8174ded6bf414287786a198c995305ef1dadf9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898" }, { "r": "4.6.0", "os": "linux", "version": "0.4.0", "date": "2026-05-21T05:54:23.000Z", "distro": "noble", "commit": "22b1b91d817b8227304defcf794568beb0fc68d4", "fileid": "b2cfecc43a4d9fe48fcdbe029ce96f8f1b5e2c564f6c5c6007ac40750fe90259", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898" }, { "r": "4.5.3", "os": "mac", "version": "0.4.0", "date": "2026-05-21T05:53:49.000Z", "commit": "22b1b91d817b8227304defcf794568beb0fc68d4", "fileid": "d2652bc22f1e8237b0eb30156f1af2a7cb11607cdd2a23e5a3cb9978c954f588", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898" }, { "r": "4.6.0", "os": "mac", "version": "0.4.0", "date": "2026-05-21T05:54:21.000Z", "commit": "22b1b91d817b8227304defcf794568beb0fc68d4", "fileid": "3a14fd0db5a32f1b99e465f578ed6d1c438803515ebd59255e2462b16fbc5274", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898" }, { "r": "4.6.0", "os": "wasm", "version": "0.4.0", "date": "2026-05-21T21:26:36.000Z", "commit": "22b1b91d817b8227304defcf794568beb0fc68d4", "fileid": "8e62aeff2c71b52f6a500ac2c08b56891530cb75bed7692edc2f76e8fb5fbb64", "status": "success", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898" }, { "r": "4.7.0", "os": "win", "version": "0.4.0", "date": "2026-05-21T05:53:41.000Z", "commit": "22b1b91d817b8227304defcf794568beb0fc68d4", "fileid": "4cc7ea0ae0b35b2c88b690b752339721390297f447630a441f7e160f05f24891", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898" }, { "r": "4.5.3", "os": "win", "version": "0.4.0", "date": "2026-05-21T05:53:52.000Z", "commit": "22b1b91d817b8227304defcf794568beb0fc68d4", "fileid": "2f8fcd459b715d6369251056ac698f343589a72a74f7a3a77e77845e3b282f4b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898" }, { "r": "4.6.0", "os": "win", "version": "0.4.0", "date": "2026-05-21T05:54:01.000Z", "commit": "22b1b91d817b8227304defcf794568beb0fc68d4", "fileid": "c50c162f7c4326fdb213d6058679045d2fed6113f5edd1b00d752e7ec1ae9c6c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/guangbaog/actions/runs/26208066898" } ] }