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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2023-03-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.220963 |