---
code_id: 144475
site_ownership_code: "SNL"
open_source: true
repository_link: "https://github.com/sandialabs/Bayesian-calibration-of-stochastic-agent-based-model-via-random-forest"
project_type: "OS"
software_type: "S"
official_use_only: {}
developers:
- email: ""
  orcid: ""
  first_name: "Connor"
  last_name: "Robertson"
  middle_name: ""
  affiliations:
  - "Sandia National Lab. (SNL-CA), Livermore, CA (United States)"
  - "Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)"
  - "Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United\
    \ States)"
contributors: []
sponsoring_organizations:
- organization_name: "USDOE"
  funding_identifiers: []
  primary_award: "NA0003525"
  DOE: true
contributing_organizations: []
research_organizations:
- organization_name: "Sandia National Laboratories (SNL-NM), Albuquerque, NM (United\
    \ States)"
  DOE: true
related_identifiers: []
award_dois: []
release_date: "2024-06-17"
software_title: "Bayesian calibration of stochastic agent based model via random forest"
doi: "https://doi.org/10.11578/dc.20240925.4"
description: "SAND2024-11403O\nThe Bayesian Calibration of Stochastic Agent-based\
  \ Model via Random Forest is a code that was developed in concurrence with an article\
  \ by the same name that was written for a journal. The code reproduces simulation\
  \ results and plots from the article.  Sandia National Laboratories is a multimission\
  \ laboratory managed and operated by National Technology & Engineering Solutions\
  \ of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for\
  \ the U.S. Department of Energy’s National Nuclear Security Administration under\
  \ contract DE-NA0003525."
programming_languages:
- "Python"
- "R"
version_number: "0.1"
country_of_origin: "United States"
project_keywords:
- "SciDAC"
licenses:
- "MIT License"
recipient_org: "Sandia National Laboratories"
site_accession_number: "SCR #3053.0"
other_special_requirements: "SciDAC"
date_record_added: "2024-09-25"
date_record_updated: "2024-10-18"
is_file_certified: false
last_editor: "moorea@osti.gov"
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/144475"