{"id":19706072,"url":"https://github.com/llnl/quantkriging","last_synced_at":"2026-06-07T22:34:04.612Z","repository":{"id":66083001,"uuid":"224298363","full_name":"LLNL/quantkriging","owner":"LLNL","description":"Quantile Kriging for stochastic simulators ","archived":false,"fork":false,"pushed_at":"2020-02-19T23:21:22.000Z","size":81,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-12T05:03:36.995Z","etag":null,"topics":["math-physics"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LLNL.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-11-26T22:35:11.000Z","updated_at":"2020-02-19T23:21:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"57bf8401-a5d0-4101-a74d-74758c3ec123","html_url":"https://github.com/LLNL/quantkriging","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/LLNL/quantkriging","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fquantkriging","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fquantkriging/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fquantkriging/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fquantkriging/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LLNL","download_url":"https://codeload.github.com/LLNL/quantkriging/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2Fquantkriging/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34041087,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-07T02:00:07.652Z","response_time":124,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["math-physics"],"created_at":"2024-11-11T21:33:36.858Z","updated_at":"2026-06-07T22:34:04.599Z","avatar_url":"https://github.com/LLNL.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"\nQuantile Kriging is a method to model the uncertainty of a stochastic simulation by modelling both the overall simulation response and the output distribution at each sample point.  The output distribution is characterized by dividing it into quantiles, where the division of each quantile is determined by kriging.  \nThis library is our re-implementation of Quantile Kriging as described by Matthew Plumlee \u0026 Rui Tuo in their 2014 paper \"Building Accurate Emulators for Stochastic Simulations via Quantile Kriging.\"  With computational savings when dealing with replication from the recent paper \"Practical heteroskedastic Gaussian process modeling for large simulation experiments \" by Binois, M., Gramacy, R., and Ludovski, M. it is now possible to apply Quantile Kriging to a wider class of problems.  In addition to fitting the model, other useful tools are provided such as the ability to automatically perform leave-one-out cross validation.\n\nGetting Started\n----------------\nQuantkriging can be downloaded and installed inside of RStudio by using the devtools package.  If you do not have the devtools package run:\n\u003e install.package(\"devtools\")\n\nonce devtools is installed, run:\n\u003e library(devtools)\n\u003e install_github(\"LLNL/quantkriging\")\n\n\nDocumentation\n----------------\n\nDocumentation is included in the package.  It can be viewed in RStudio with the command: help(quantkriging)\n\nContributing\n------------------------\nJust send us a [pull request](https://help.github.com/articles/using-pull-requests/). \n\nAuthors\n----------------\n\nThis implementation of quantile kriging was developed by Kevin Quinlan, quinlan5@llnl.gov.\n\n\nLicenses\n----------------\n\nquantkriging is distributed under the terms of the MIT license\n\nSPDX-License-Identifier: MIT\n\nLLNL-CODE-796243\n\nCopyright (c) 2019 Lawrence Livermore National Security\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n\nNotice\n----------------\n\nTitle: Quantkriging (Quantile Kriging R Package) , Version: 0.1.0\nAuthor(s) Kevin R. Quinlan, James R. Leek\n\nThis work was produced under the auspices of the U.S. Department of\nEnergy by Lawrence Livermore National Laboratory under Contract\nDE-AC52-07NA27344.\n\nThis work was prepared as an account of work sponsored by an agency of\nthe United States Government. Neither the United States Government nor\nLawrence Livermore National Security, LLC, nor any of their employees\nmakes any warranty, expressed or implied, or assumes any legal liability\nor responsibility for the accuracy, completeness, or usefulness of any\ninformation, apparatus, product, or process disclosed, or represents that\nits use would not infringe privately owned rights.\n\nReference herein to any specific commercial product, process, or service\nby trade name, trademark, manufacturer, or otherwise does not necessarily\nconstitute or imply its endorsement, recommendation, or favoring by the\nUnited States Government or Lawrence Livermore National Security, LLC.\n\nThe views and opinions of authors expressed herein do not necessarily\nstate or reflect those of the United States Government or Lawrence\nLivermore National Security, LLC, and shall not be used for advertising\nor product endorsement purposes.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllnl%2Fquantkriging","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fllnl%2Fquantkriging","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllnl%2Fquantkriging/lists"}