Mixed cumulative probit: a multivariate generalization of transition analysis that accommodates variation in the shape, spread and structure of data

Biological data are frequently nonlinear, heteroscedastic and conditionally dependent, and often researchers deal with missing data. To account for characteristics common in biological data in one algorithm, we developed the mixed cumulative probit (MCP), a novel latent trait model that is a formal...

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Detalles Bibliográficos
Autores principales: Stull, Kyra E., Chu, Elaine Y., Corron, Louise K., Price, Michael H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Organismal and Evolutionary Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974299/
https://www.ncbi.nlm.nih.gov/pubmed/36866077
http://dx.doi.org/10.1098/rsos.220963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9974299/
https://www.ncbi.nlm.nih.gov/pubmed/36866077
http://dx.doi.org/10.1098/rsos.220963

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