bullet: bullet Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

bullet Bayesian Network

Description

Combined interpretation of objective firearm evidence comparison algorithms using Bayesian network.

Usage

bullet

Format

A discrete Bayesian network to leverage the strengths of individual approaches to evaluate the similarity of features on two bullets. The network was available in a repository. The vertices are:

Conclusion

(NotSource, Source);

CCF

Cross-correlation function (CCF_0_1, CCF_1_2, CCF_2_3, CCF_3_4, CCF_4_5, CCF_5_6, CCF_6_7, CCF_7_8, CCF_8_9, CCF_9_10);

CMPS

Congruent matching profile segments (CMPS_0, CMPS_1, CMPS_2, CMPS_3, ... , CMPS_27);

RF

Random forest (RF_0_1, RF_1_2, RF_2_3, RF_3_4, RF_4_5, RF_5_6, RF_6_7, RF_7_8, RF_8_9, RF_9_10);

CMS

Consecutively matching striae (CMS_0, CMS_1, .... , CMS_29);

Details

@usage NULL

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Spaulding, J. S., & LaCasse, L. S. (2024). Combined interpretation of objective firearm evidence comparison algorithms using Bayesian networks. Journal of Forensic Sciences.

bnRep documentation built on April 12, 2025, 1:13 a.m.