{
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"name": "Riley O. Mummah",
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"title": "Inferring pathogen presence when sample misclassification and partial observation occur"
}
],
"publisher": "U.S. Geological Survey",
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"subjects": [
{
"subject": "pseudogymnoascus destructans"
},
{
"subject": "pathogen presence"
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{
"subject": "misclassification"
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"dates": [
{
"date": "2023",
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"description": "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.",
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"created": "2023-01-23T17:38:36Z",
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"updated": "2024-07-11T19:44:57Z"
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