R-universe - abigailkeller (Abigail Keller)

eDNAjoint - Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework

Models integrate environmental DNA (eDNA) detection data and traditional survey data to jointly estimate species catch rate (see package vignette: <https://ednajoint.netlify.app/>). Models can be used with count data via traditional survey methods (i.e., trapping, electrofishing, visual) and replicated eDNA detection/nondetection data via polymerase chain reaction (i.e., PCR or qPCR) from multiple survey locations. Estimated parameters include probability of a false positive eDNA detection, a site-level covariates that scale the sensitivity of eDNA surveys relative to traditional surveys, and gear scaling coefficients for traditional gear types. Models are implemented with a Bayesian framework (Markov chain Monte Carlo) using the 'Stan' probabilistic programming language.

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3.77 score 9 stars 13 scripts 259 downloads

hellokitty - A Hello Kitty Color Palette Generator

Palettes generated from Hello Kitty cartoon.

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3.30 score 2 scripts 247 downloads

greencrab.toolkit - Run 'Stan' Models to Interpret Green Crab Monitoring Assessments

These Bayesian models written in the 'Stan' probabilistic language can be used to interpret green crab trapping and environmental DNA monitoring data, either independently or jointly. Detailed model information is found in Keller (2022) <doi:10.1002/eap.2561>.

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2.00 score 319 downloads