This software contains four separate R scripts and one Matlab script that comprise an analysis to estimate the posterior probability of pathogen presence when sample misclassification and partial observations occur. We develop a Bayesian hierarchal framework that accommodates false negative, false positive, and uncertain detections and apply this framework to a case study of the fungal pathogen Pseudogymnoascus destructans (Pd) identified in Texas bats at the invasion front of white-nose syndrome. The software supports a research article submitted to Methods in Ecology and Evolution.
|Title||Inferring pathogen presence when sample misclassification and partial observation occur|
|Authors||Graziella V Direnzo, Evan H Grant, Riley O. Mummah, Brittany A. Mosher|
|Product Type||Software Release|
|Record Source||USGS Digital Object Identifier Catalog|
|USGS Organization||Cooperative Research Units|