Final Release - Version Used in Publication Analyses

This repository release presents the code and data used to perform all analyses in Staton et al. (2022): Accounting for uncertainty when estimating drivers of imperfect detection: An integrated approach illustrated with snorkel surveys for riverine fishes (DOI: 10.1016/j.fishres.2021.106209) published in the journal Fisheries Research

Preliminary Release

This repository release presents the code and data used to perform all analyses in Staton et al.: Accounting for uncertainty when estimating drivers of imperfect detection: an integrated approach illustrated with snorkel surveys for riverine fishes

It is considered preliminary because the manuscript has not yet completed the review process, although the last decision we received was "acceptable after minor revision."

This release incorporates all feedback we received on the version in 0.0.3.9000. No analytical changes were made, see #4 for details on the very few items that have been changed.

Preliminary Release

This repository release presents the code and data used to perform all analyses in Staton et al.: Accounting for uncertainty when estimating drivers of imperfect detection: an integrated approach illustrated with snorkel surveys for riverine fishes

It is considered preliminary because the manuscript has not yet completed the review process.

This release incorporates all feedback we received on the version in 0.0.2.9000. No analytical changes were made, see #3 for details on the very few items that have been changed.

Preliminary Release

This repository release presents the code and data used to perform all analyses in Staton et al.: Accounting for uncertainty when estimating drivers of detection probability: an integrated approach illustrated with snorkel surveys for riverine fishes

It is considered preliminary because the manuscript has not yet completed the review process.

This release incorporates all feedback we received on the version in 0.0.1.9000; the most substantial change was a shift to the Huggins conditional likelihood for estimating abundance from mark-recapture data, which replaced our previous usage of the hypergeometric full likelihood so that behavioral effects in mark-recapture sampling can be investigated and accounted for if necessary.

Preliminary Release

This repository release presents the code and data used to perform all analyses in Staton et al.: Accounting for uncertainty when estimating drivers of detection probability: a hierarchical approach illustrated with snorkel surveys for riverine fishes

It is considered preliminary because the manuscript has not yet completed the review process.

Preliminary Release

This repository release presents the code and data used to perform all analyses in Staton et al.: Accounting for uncertainty when estimating drivers of detection probability: a hierarchical approach illustrated with snorkel surveys for riverine fishes

It is considered preliminary because the manuscript has not yet completed the review process.