Yi) Different criteria would be _exepcted_ to give different estimates.
ii) Look at teh standard errors on the coefficients. Essentially all of them
are larger than the estimates for both fitting criteria.
Essentially, both models are telling you that your coefficients are not
significantly
Thank you so much, S. Ellison.
Maybe I am wrong since I am still learning the mixed model, my impression is
that variance and standard error estimates from REML and ML are
different, coefficient estimates for fixed effects from both ML and REML are
not necessarily identical, but should be
Hi, All,
My data collection is from 4 regions (a, b, c, d). Within each region, it has 2
or 3 units. Within each unit, it has measurement from about 25 sample site. I
was trying to use lme function to discribe relationship between y and a few
covariates. Both y and covariates were measured at
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