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Covariance is a quantity used to measure the strength and direction of the linear relationship between two variables. The covariance is unscaled, & thus often difficult to interpret; when scaled by the variables' SDs, it becomes Pearson's correlation coefficient.
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nlme crossed random effects and autoregressive covariance structure
I would like to ask you two specific questions regarding a model in which crossed random effects and autoregressive covariance structure (AR1 -->
therefore use the package nlme instead of lme4) are to … How to correctly account for the autoregressive covariance structure? …