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Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/LMSMIPNFA
https://doi.org/10.11578/dc.20240918.1

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Abstract

R code that performs the analysis of a data set presented in the paper ‘Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications’ by Lewis, J., Zhang, A., Anderson-Cook, C. It provides functions for doing inverse predictions in this setting using several different statistical methods. The data set is a publicly available data set from a historical Plutonium production experiment.
Developers:
Release Date:
2018-03-19
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
R
Licenses:
Other (Commercial or Open-Source): https://ip.sandia.gov
Sponsoring Org.:
Code ID:
17991
Site Accession Number:
SCR#2236
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/LMSMIPNFA
https://doi.org/10.11578/dc.20240918.1

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Citation Formats

Lewis, John. Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0. Computer Software. https://github.com/sandialabs/LMSMIPNFA. USDOE. 19 Mar. 2018. Web. doi:10.11578/dc.20240918.1.
Lewis, John. (2018, March 19). Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0. [Computer software]. https://github.com/sandialabs/LMSMIPNFA. https://doi.org/10.11578/dc.20240918.1.
Lewis, John. "Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0." Computer software. March 19, 2018. https://github.com/sandialabs/LMSMIPNFA. https://doi.org/10.11578/dc.20240918.1.
@misc{ doecode_17991,
title = {Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0},
author = {Lewis, John},
abstractNote = {R code that performs the analysis of a data set presented in the paper ‘Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications’ by Lewis, J., Zhang, A., Anderson-Cook, C. It provides functions for doing inverse predictions in this setting using several different statistical methods. The data set is a publicly available data set from a historical Plutonium production experiment.},
doi = {10.11578/dc.20240918.1},
url = {https://doi.org/10.11578/dc.20240918.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240918.1}},
year = {2018},
month = {mar}
}