{ "_id": "6ac95cb1de46216d5edda941", "Package": "evbsreg", "Type": "Package", "Title": "Local Influence Diagnostics for the Extreme-Value\nBirnbaum-Saunders Regression Model", "Version": "1.2.1", "Date": "2026-10-08", "Authors@R": "person(\"Raydonal\", \"Ospina\",\nemail = \"raydonal@de.ufpe.br\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9884-9090\"))", "Description": "Implements local influence diagnostics for the\nExtreme-Value Birnbaum-Saunders (EVBS) regression model: joint\nmaximum likelihood estimation, conformal normal curvature\ndiagnostics under three perturbation schemes (case-weight,\nresponse variable, and explanatory variable), randomized\nquantile residuals with simulation envelope, Monte Carlo\nsimulation utilities, and publication-quality density and\ndiagnostic plots. Version 1.1.0 adds the density, distribution\nand quantile functions, the finite upper endpoint, return\nlevels and expected shortfall, block bootstrap standard errors\nfor serially dependent series, local influence diagnostics for\nthe generalized extreme-value regression model, and a GAMLSS\nfamily allowing the tail-shape parameter to depend on\ncovariates. Version 1.2.0 adds a prospective control chart for\nendpoint identifiability. The methods are described in Ospina,\nLima, Barros, and Macedo (2026, submitted) and are applied to\nmonthly maximum wind gust data from Itajai, Brazil.", "License": "MIT + file LICENSE", "URL": "https://github.com/Raydonal/evbsreg,\nhttps://raydonal.github.io/evbsreg/", "BugReports": "https://github.com/Raydonal/evbsreg/issues", "Encoding": "UTF-8", "LazyData": "true", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.1.0", "Repository": "https://raydonal.r-universe.dev", "Date/Publication": "2026-10-09 19:37:27 UTC", "RemoteUrl": "https://github.com/raydonal/evbsreg", "RemoteRef": "HEAD", "RemoteSha": "3185f568e350d2e6a0f3731d019490f6a9db5241", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-09 21:24:12 UTC", "User": "root" }, "Author": "Raydonal Ospina [aut, cre] (ORCID:\n)", "Maintainer": "Raydonal Ospina ", "_user": "raydonal", "_type": "src", "_file": "evbsreg_1.2.1.tar.gz", "_fileid": "https://r2.ropensci.org/00d3c259d09e9c26c4a9c30faf67d28bc9593576a28d50bee7dade2c3847fa89", "_filesize": 618450, "_sha256": "00d3c259d09e9c26c4a9c30faf67d28bc9593576a28d50bee7dade2c3847fa89", "_expires": "2027-01-17T21:29:19.000Z", "_created": "2026-10-09T21:24:12.000Z", "_published": "2026-10-09T21:29:21.528Z", "_buildurl": "https://github.com/r-universe/raydonal/actions/runs/37992934647", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 114032677093, "time": 138, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11645767714" }, { "job": 114032677007, "time": 128, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11646635214" }, { "job": 114032677105, "time": 197, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11646466098" }, { "job": 114032677089, "time": 179, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11646710237" }, { "job": 114031617481, "time": 177, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11646101780" }, { "job": 114032677005, "time": 98, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11646007266" }, { "job": 114032677140, "time": 91, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11645554277" }, { "job": 114032677158, "time": 106, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11645474607" }, { "job": 114032677154, "time": 92, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11645549297" } ], "_upstream": "https://github.com/raydonal/evbsreg", "_commit": { "id": "3185f568e350d2e6a0f3731d019490f6a9db5241", "author": "Raydonal ", "committer": "Raydonal ", "message": "Release 1.2.1: gev_monitor(), Bbar for GEV diagnostics, documentation fixes\n\n- New gev_monitor(): the prospective identifiability index F_t under the GEV\n regression, with the same construction as evbs_monitor().\n- cnc_diagnostics_gev() also returns Bbar, the mean aggregate contribution\n computed as colMeans(cnc_diagnostics(fit)$Bj) is for the EVBS model, so\n influence rankings are comparable across families. Bj is unchanged.\n- devbs() docs: the extreme-value index of the response is 2*gamma only for\n gamma > 0 and gamma for gamma <= 0 (Ferreira, Gomes and Leiva, 2012).\n- evbs_return_level() docs: level is conditional on x; period is in units of\n one observation; reading it as an annual level assumes independence.\n- evbs_monitor() docs: endpoint evaluated at the running maximum's covariate.\n- inst/scripts: simulation gamma grid {-0.2, 0, 0.2} and Scenario 3\n parameters (beta = (1, 2), alpha = 1.2) aligned with the paper.\n- Tests for Bbar and gev_monitor(); 38 expectations pass; R CMD check\n --as-cran: 0 errors, 0 warnings, 1 local-only note (tidy).\n\nCo-Authored-By: Claude Sonnet 5 \n", "time": 1791574647 }, "_maintainer": { "name": "Raydonal Ospina", "email": "raydonal@de.ufpe.br", "login": "raydonal", "description": "", "uuid": 16047363, "orcid": "0000-0002-9884-9090" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", 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Plot with Simulation Envelope", "topics": [ "envelope_qq" ] }, { "page": "evbs_block_boot", "title": "Block bootstrap standard errors for the EVBS regression model", "topics": [ "evbs_block_boot" ] }, { "page": "evbs_endpoint", "title": "Finite upper endpoint of the EVBS distribution", "topics": [ "evbs_endpoint" ] }, { "page": "evbs_monitor", "title": "Prospective endpoint-identifiability index", "topics": [ "evbs_monitor" ] }, { "page": "evbs_return_level", "title": "Return level and expected shortfall for the EVBS regression model", "topics": [ "evbs_return_level" ] }, { "page": "evbsreg.fit", "title": "Fit the Extreme-Value Birnbaum-Saunders Regression Model", "topics": [ "evbsreg.fit" ] }, { "page": "evbsreg.fit.mc", "title": "Monte Carlo Simulation Study for the EVBS Regression Model", "topics": [ "evbsreg.fit.mc" ] }, { "page": "generate_evbs_data", "title": "Generate EVBS Density Values", "topics": [ "generate_evbs_data" ] }, { "page": "generate_logevbs_data", "title": "Generate log-EVBS Density Values", "topics": [ "generate_logevbs_data" ] }, { "page": "gev_monitor", "title": "Prospective endpoint-identifiability index under the GEV regression", "topics": [ "gev_monitor" ] }, { "page": "gev_scores", "title": "Individual score contributions for the GEV regression model", "topics": [ "gev_scores" ] }, { "page": "gevreg.fit", "title": "Maximum likelihood fit of the GEV regression model", "topics": [ "gevreg.fit" ] }, { "page": "itajai", "title": "Monthly Maximum Wind Gusts at Itajai, Brazil", "topics": [ "itajai" ] }, { "page": "logEVBS", "title": "The log-EVBS distribution for GAMLSS models", "topics": [ "logEVBS" ] }, { "page": "pevbs", "title": "Distribution function of the Extreme-Value Birnbaum-Saunders distribution", "topics": [ "pevbs" ] }, { "page": "plot_aggregate_contributions", "title": "Plot Aggregate Contributions B_j(q)", "topics": [ "plot_aggregate_contributions" ] }, { "page": "plot_cnc", "title": "Combined Conformal Normal Curvature 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