Please note that neither myself nor other members of our group are exactly statisticians or high-level r coders.
#ASREML R AR1 AT HOW TO#
Can anyone refer me to a recent discussion regarding this type of analysis? Or can they offer advice on how to construct a mixed effects models that accounts for spatial correlation in nlme or lmer? The consensus at the time seemed to be that it wasn’t straight forward to do this in either lmer or nlme.Īfter spending a few hours searching, it’s not totally clear to me whether there has been any progress on addressing this. Several years ago a question was posted asking if an open-source alternative to asreml-r was available that could be used to construct a two-dimensional spatial model with error structure in both direction. So they are reluctant to either pay for asreml-r or consider using. My research group also prefers to rely on nlme and lmer for the majority of it’s analytical needs. Unfortunately, asreml-r is expensive and difficult to learn. It is relatively easy to use the asreml package to specify a spatial model (i.e. In the past, I have used asreml-r to account for spatial auto-correlation in agricultural field trials that were laid out in a “row and range” design.