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

## 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.

- Authors:

- Sandia National Laboratories

- Publication Date:

- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

- Sponsoring Org.:
- USDOE

- OSTI Identifier:
- 1431202

- Report Number(s):
- LMSMIPNFA; 005654MLTPL00

SCR#2236

- DOE Contract Number:
- NA0003525

- Resource Type:
- Software

- Software Revision:
- 00

- Software Package Number:
- 005654

- Software CPU:
- MLTPL

- Open Source:
- Yes

Unlimited - Open Source

- Source Code Available:
- Yes

- Country of Publication:
- United States

### Citation Formats

```
Lewis, John R.
```*Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0*.
Computer software. *https://www.osti.gov//servlets/purl/1431202*. Vers. 00. USDOE. 19 Mar. 2018.
Web.

```
Lewis, John R. (2018, March 19). Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0 (Version 00) [Computer software]. https://www.osti.gov//servlets/purl/1431202.
```

```
Lewis, John R. Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0.
Computer software. Version 00. March 19, 2018. https://www.osti.gov//servlets/purl/1431202.
```

```
@misc{osti_1431202,
```

title = {Analysis Code - Data Analysis in 'Leveraging Multiple Statistical Methods for Inverse Prediction in Nuclear Forensics Applications' (LMSMIPNFA) v. 1.0, Version 00},

author = {Lewis, John R},

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.},

url = {https://www.osti.gov//servlets/purl/1431202},

doi = {},

year = {Mon Mar 19 00:00:00 EDT 2018},

month = {Mon Mar 19 00:00:00 EDT 2018},

note =

}

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