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A regression model for correlated circular data is proposed by assuming that samples of angular measurements are drawn from a multivariate von Mises distribution with mean and concentration parameters that depend on covariates through link functions. The model can flexibly accommodate heteroscedasticity, unstructured correlation, and specific autoregressive correlation structures. Because the computation...
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