R code for calculating imperilment of freshwater fish with a Bayesian belief network
November 2, 2023
This R script is reproduces a Bayesian belief network built within the propriety software program, Netica. The R- and Netica-based belief networks were used in Dunn and Schumann et al. (in press), which presents an approach for calculating imperilment of freshwater fishes.
Citation Information
Publication Year | 2023 |
---|---|
Title | R code for calculating imperilment of freshwater fish with a Bayesian belief network |
DOI | 10.5066/P9IBB2K5 |
Authors | Corey G Dunn, Logan J Sleezer, Michael E Colvin |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Cooperative Research Units Program |
Related
Corey G. Dunn, PhD
Research Fish Biologist
Research Fish Biologist
Email
Logan Sleezer
Ecologist
Ecologist
Email
Phone
Ext
1626
Related
Corey G. Dunn, PhD
Research Fish Biologist
Research Fish Biologist
Email
Logan Sleezer
Ecologist
Ecologist
Email
Phone
Ext
1626