109-7
See more from this Division: ASA Section: Biometry and Statistical Computing
See more from this Session: Biometry & Statistical Computing Oral
Abstract:
The analysis function has been designed to be as flexible as desired. Users can input the design matrices for the fixed and (multiple) random effects, covariance structures for the variance parameters, as well as the structure of the residual error term. Alternatively, users can provide the proper model and the model terms will be automatically built. If not defined in the covariance or residual error structure, users can opt for the function to fit a moving average covariate and/or a correlation structure accounting for spatially-related error, such as an AR1 x AR1 correlation structure.
See more from this Division: ASA Section: Biometry and Statistical Computing
See more from this Session: Biometry & Statistical Computing Oral