ArticleThe Journal of experimental biology2017
Bringing the analysis of animal orientation data full circle: model-based approaches with maximum likelihood.
Article in The Journal of experimental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
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- Are lichens biocompasses? Revisiting an old prediction using new techniques.Plant biology (Stuttgart, Germany) · 2025Article
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- Parallel vector memories in the brain of a bee as foundation for flexible navigation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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- Surveillance of Erythrovirus B19 (B19V) in patients with acute febrile illness suspected of arboviruses in Mato Grosso do Sul state, Brazil.Frontiers in microbiology · 2024Article
- Migratory birds are able to choose the appropriate migratory direction under dim yellow narrowband light.Proceedings. Biological sciences · 2023Article
- Migratory bats are sensitive to magnetic inclination changes during the compass calibration period.Biology letters · 2023Article
- State-dependent, visually guided behaviors in the nudibranch Berghia stephanieae.The Journal of experimental biology · 2023Article
- A Distinct Saponin Profile Drives an Olfactory-Mediated Aggregation in the Aquacultivated Sea CucumberMarine drugs · 2023Article
- High Frequency ofAnimals : an open access journal from MDPI · 2023Article
- Lateral line ablation by ototoxic compounds results in distinct rheotaxis profiles in larval zebrafish.Communications biology · 2023Article
- Camera-based automated monitoring of flying insects in the wild (Camfi). II. flight behaviour and long-term population monitoring of migratory Bogong moths in Alpine Australia.Frontiers in insect science · 2023Article
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Authors and funding
2 authors.
Funding
Abstract
In studies of animal orientation, data are often represented as directions that can be analyzed using circular statistical methods. Although several circular statistical tests exist to detect the presence of a mean direction, likelihood-based approaches may offer advantages in hypothesis testing - especially when data are multimodal. Unfortunately, likelihood-based inference in animal orientation remains rare. Here, we discuss some of the assumptions and limitations of common circular tests and report a new R package called CircMLE to implement the maximum likelihood analysis of circular data. We illustrate the use of this package on both simulated datasets and an empirical example dataset in Chinook salmon (
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