f*********e
发帖数: 45 | 1 Usually, when fitting mixed model , if we run across the un converge problem
,
what we should do ? what I can think about is
1.try different type of variance structure like CS ...
2, specifiy different estiamation method. (mle - reml)
3. reduce covariates.
What do you think about it ?
Thank you so much! | s*r
发帖数: 2757 | 2 i did see complex models cause convergence problems. so 1 and 3 | q**j
发帖数: 10612 | 3 the inability to converge is often a result of inherent model inconsistency,
which is more severe for complicated models. so the first thing to do is to
make sure that the system of equations you estimate is consistent within
itself. |
|
