{ "_id": "6a102320acfb0bcc41c8d47b", "Package": "gbm3", "Version": "3.0.1", "Date": "2026-05-07", "Title": "Generalized Boosted Regression Models", "Authors@R": "c(\nperson(\"James\", \"Hickey\",\nemail=\"james.hickey@cantab.net\",\nrole=\"aut\"),\nperson(\"Paul\", \"Metcalfe\",\nemail=\"paul.metcalfe@gmail.com\",\nrole=c(\"aut\")),\nperson(\"Greg\", \"Ridgeway\",\nemail=\"gridge@upenn.edu\",\nrole=c(\"aut\", \"cre\")),\nperson(\"Stefan\", \"Schroedl\",\nemail=\"schroedl@a9.com\",\nrole=\"aut\"),\nperson(\"Harry\", \"Southworth\",\nemail=\"harry.southworth@gmail.com\",\nrole=\"aut\"),\nperson(\"Terry\", \"Therneau\",\nemail=\"therneau.terry@mayo.edu\",\nrole=\"aut\")\n)", "VignetteBuilder": "knitr", "Description": "Extensions to Freund and Schapire's AdaBoost algorithm, Y.\nFreund and R. Schapire (1997) and\nFriedman's gradient boosting machine, J.H. Friedman (2001)\n. Includes regression methods for\nleast squares, absolute loss, t-distribution loss, quantile\nregression, logistic, Poisson, Cox proportional hazards partial\nlikelihood, AdaBoost exponential loss, Huberized hinge loss,\nand Learning to Rank measures (LambdaMART).", "License": "GPL (>= 2)", "URL": "https://github.com/gbm-developers/gbm3", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-13 23:20:13 UTC", "User": "root" }, "Author": "James Hickey [aut], Paul Metcalfe [aut], Greg Ridgeway [aut,\ncre], Stefan Schroedl [aut], Harry Southworth [aut], Terry\nTherneau [aut]", "Maintainer": "Greg Ridgeway ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-05-13 21:00:30 UTC", "RemoteUrl": "https://github.com/cran/gbm3", "RemoteRef": "HEAD", "RemoteSha": "1d471a9f0790be01b8dbee7b2d03c995d7d1d74e", "MD5sum": "804dd5a24a7e7fa41a7c1a71cd22c459", "_user": "cran", "_type": "src", "_file": "gbm3_3.0.1.tar.gz", "_fileid": "bd6cc43c7e9a94597a2d49569e52e90fa8e136d23ec8bcf233f0a7bec2719dd9", "_filesize": 835552, "_sha256": "bd6cc43c7e9a94597a2d49569e52e90fa8e136d23ec8bcf233f0a7bec2719dd9", "_created": "2026-05-13T23:20:13.000Z", "_published": "2026-05-22T09:34:24.040Z", "_distro": "noble", "_jobs": [ { "job": 77353523949, "time": 287, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "6983792698" }, { "job": 77353523796, "time": 283, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "6983793395" }, { "job": 77353524098, "time": 280, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "6983791153" }, { "job": 77353524254, "time": 274, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "6983789658" }, { "job": 77353523644, "time": 353, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "6983727433" }, { "job": 77353523404, "time": 165, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7157375967" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/25831568874", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/gbm3", "_commit": { "id": "1d471a9f0790be01b8dbee7b2d03c995d7d1d74e", "author": "Greg Ridgeway ", "committer": "cran-robot ", "message": "version 3.0.1\n", "time": 1778706030 }, "_maintainer": { "name": "Greg Ridgeway", "email": "gridge@upenn.edu", "login": "gregridgeway", "linkedin": "in/gregridgeway", "uuid": 8985024 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "survival", "role": "Imports" }, { "package": "lattice", "role": "Imports" }, { "package": "splines", "role": "Imports" }, { "package": "Rcpp", "version": ">= 1.0.0", "role": "Imports" }, { "package": "testthat", "version": ">= 3.1.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-20", "n": 1 } ], "_tags": [ { "name": "3.0.1", "date": "2026-05-13" } ], "_stars": 0, "_contributors": [ { "user": "gregridgeway", "count": 2, "uuid": 8985024 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 3, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/gbm3" }, "_devurl": "https://github.com/gbm-developers/gbm3", "_searchresults": 63, "_topics": [ "cpp", "openmp" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/gbm3.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_cranurl": false, "_releases": [ { "version": "3.0", "date": "2024-01-22" }, { "version": "3.0.1", "date": "2026-05-13" } ], "_exports": [ "available_distributions", "baseline_hazard", "calibrate_plot", "distribution_name", "gbm", "gbm_dist", "gbm_more", "gbm_roc_area", "gbm.fit", "gbm.perf", "gbmParallel", "gbmt", "gbmt_fit", "gbmt_performance", "interact", "iteration_error", "perf_pairwise", "permutation_relative_influence", "pretty_gbm_tree", "quantile_rug", "relative_influence", "to_old_gbm", "training_params", "trees" ], "_help": [ { "page": "available_distributions", "title": "Available Distributions", "topics": [ "available_distributions" ] }, { "page": "baseline_hazard", "title": "Baseline hazard function", "topics": [ "baseline_hazard" ] }, { "page": "calibrate_plot", "title": "Calibration plot", "topics": [ "calibrate_plot" ] }, { "page": "create_dist", "title": "Create distributions", "topics": [ "create_dist" ] }, { "page": "distribution_name", "title": "What is the distribution name used here?", "topics": [ "distribution_name" ] }, { "page": "gbm_dist", "title": "GBM Distribution", "topics": [ "gbm_dist" ] }, { "page": "gbm_more", "title": "Perform additional boosting", "topics": [ "gbm_more" ] }, { "page": "gbm_object", "title": "Generalized Boosted Regression Model Object", "topics": [ "gbm_object" ] }, { "page": "gbm_roc_area", "title": "Compute Information Retrieval measures.", "topics": [ "gbm_conc", "gbm_roc_area" ] }, { "page": "gbm", "title": "Generalized Boosted Regression Modeling", "topics": [ "gbm", "gbm.fit" ] }, { "page": "gbm.perf", "title": "GBMT Performance", "topics": [ "gbm.perf" ] }, { "page": "gbmParallel", "title": "Control parallelization options", "topics": [ "gbmParallel" ] }, { "page": "gbmt", "title": "GBMT", "topics": [ "gbmt" ] }, { "page": "gbmt_fit", "title": "GBMT fit", "topics": [ "gbmt_fit" ] }, { "page": "gbmt_performance", "title": "Get performance details for gbm fit", "topics": [ "gbmt_performance" ] }, { "page": "interact", "title": "Estimate the strength of interaction effects", "topics": [ "interact", "interact.GBMFit" ] }, { "page": "iteration_error", "title": "Extract errors from GBMFit objects", "topics": [ "iteration_error" ] }, { "page": "perf_pairwise", "title": "Performance for pairwise", "topics": [ "perf_pairwise" ] }, { "page": "permutation_relative_influence", "title": "Relative influence via permutation", "topics": [ "permutation_relative_influence" ] }, { "page": "plot.GBMFit", "title": "Marginal plots of fitted gbm objects", "topics": [ "plot.GBMFit" ] }, { "page": "plot.GBMTPerformance", "title": "Plot GBM performance details", "topics": [ "plot.GBMTPerformance" ] }, { "page": "predict.GBMCVFit", "title": "Predictions for CV fitted GBM models", "topics": [ "predict.GBMCVFit" ] }, { "page": "predict.GBMFit", "title": "Predict method for GBM Model Fits", "topics": [ "predict.GBMFit" ] }, { "page": "pretty_gbm_tree", "title": "Print gbm tree components", "topics": [ "pretty_gbm_tree" ] }, { "page": "print.GBMFit", "title": "Print model summary", "topics": [ "print", "print.GBMFit" ] }, { "page": "quantile_rug", "title": "Quantile rug plot", "topics": [ "quantile_rug" ] }, { "page": "relative_influence", "title": "Methods for estimating relative influence", "topics": [ "relative_influence" ] }, { "page": "summary.GBMFit", "title": "Summary of a GBMFit object", "topics": [ "summary.GBMFit" ] }, { "page": "to_old_gbm", "title": "Convert GBMFit to previous gbm object", "topics": [ "to_old_gbm" ] }, { "page": "training_params", "title": "Training parameters", "topics": [ "training_params" ] }, { "page": "trees", "title": "Extract trees from GBMFit objects", "topics": [ "trees" ] } ], "_readme": "https://github.com/cran/gbm3/raw/HEAD/README.md", "_rundeps": [ "lattice", "Matrix", "Rcpp", "survival" ], "_sysdeps": [ { "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" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "cox-proportional-hazards-guide.Rmd", "filename": "cox-proportional-hazards-guide.html", "title": "Guide to the Cox Proportional Hazards model", "author": "James Hickey", "engine": "knitr::rmarkdown", "headings": [ "Set-up of data and distribution object", "Creating a boosted model", "Strata Updates", "Role of additional parameters in GBMDist", "ties and prior_node_coeff_var", "Description of the underlying algorithm - specifically for CoxPH" ], "created": "2024-01-23 02:43:07", "modified": "2024-01-23 02:43:07", "commits": 1 }, { "source": "getting-started-with-gbm.Rmd", "filename": "getting-started-with-gbm.html", "title": "Getting started with the gbm package", "author": "James Hickey", "engine": "knitr::rmarkdown", "headings": [ "Example dataset", "Creating a gbm distribution object", "Setting training parameters", "Additional variable and fitting parameters", "Cross Validation", "Parallelisation", "Putting it all together", "Default behaviour", "Identifying the optimal iteration", "Fitting additional trees", "Predictions on other data", "Relative influence of predictors", "Plotting the marginal effects of selected variables", "Additional useful functions" ], "created": "2024-01-23 02:43:07", "modified": "2026-05-13 21:00:30", "commits": 2 }, { "source": "gbm.Rmd", "filename": "gbm.html", "title": "Generalized Boosted Models: A guide to the gbm package", "author": "The GBM developers", "engine": "knitr::rmarkdown", "headings": [ "High-level description of stochastic gradient boosting", "Gradient boosting in more detail", "Friedman's gradient boosting machine", "Improving boosting methods using control of the learning rate, sub-sampling, and a decomposition for interpretation", "Decreasing the learning rate", "Variance reduction using subsampling", "ANOVA decomposition", "Relative influence", "Common user options", "Loss function", "The relationship between shrinkage and number of iterations", "Estimating the optimal number of iterations" ], "created": "2024-01-23 02:43:07", "modified": "2024-01-23 02:43:07", "commits": 1 }, { "source": "model-specific-parameters.Rmd", "filename": "model-specific-parameters.html", "title": "Model Specific Parameters", "author": "James Hickey", "engine": "knitr::rmarkdown", "headings": [ "Distributions with model specific parameters", "Cox proportional hazards model", "Pairwise distribution", "Quantile", "TDist", "Tweedie" ], "created": "2024-01-23 02:43:07", "modified": "2026-05-13 21:00:30", "commits": 2 } ], "_score": 4.100370545117563, "_indexed": true, "_nocasepkg": "gbm3", "_universes": [ "cran", "gregridgeway", "gbm-developers" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "3.0.1", "date": "2026-05-13T23:23:37.000Z", "distro": "noble", "arch": "aarch64", "commit": "1d471a9f0790be01b8dbee7b2d03c995d7d1d74e", "fileid": "57bcec7f073cd6250783d40b3e17da49ae0e20ed7847ce4d57386839d297bdb4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25831568874" }, { "r": "4.7.0", "os": "linux", "version": "3.0.1", "date": "2026-05-13T23:23:17.000Z", "distro": "noble", "arch": "x86_64", "commit": "1d471a9f0790be01b8dbee7b2d03c995d7d1d74e", "fileid": "b4b5ec240403f369cc72b32878cdee102eea82b80afa48361ad017dccde586d9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25831568874" }, { "r": "4.6.0", "os": "linux", "version": "3.0.1", "date": "2026-05-13T23:23:26.000Z", "distro": "noble", "arch": "aarch64", "commit": "1d471a9f0790be01b8dbee7b2d03c995d7d1d74e", "fileid": "eb9da855771bb88af2fe9ac0b13921259fa0e068e814069c21c68cb087fe2da6", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25831568874" }, { "r": "4.6.0", "os": "linux", "version": "3.0.1", "date": "2026-05-13T23:23:16.000Z", "distro": "noble", "arch": "x86_64", "commit": "1d471a9f0790be01b8dbee7b2d03c995d7d1d74e", "fileid": "70cd80cb282a15a495293ef50803ca9a52944dc3137570c810e6f0a6502d8d2a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/25831568874" }, { "r": "4.6.0", "os": "wasm", "version": "3.0.1", "date": "2026-05-22T09:33:09.000Z", "arch": "emscripten", "commit": "1d471a9f0790be01b8dbee7b2d03c995d7d1d74e", "fileid": "b4adc9b0685fc71e00b1e617786563179ccd0ba54b820dc5e8268138cfd6638a", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/25831568874" } ] }