![]() Also available is the Wheat.analysis vignette that shows how to select the terms to be included in a mixed model for an experiment that involves spatial variation it also illustrates diagnostic checking and prediction production and presentation for this example. Otherwise, you could consult the manual using vignette("Manual", package = "asremlPlus"). For example, is a plotPredictions method for a ame and can be called using just plotPredictions the object supplied to data must be a ame.įor more information, install the package and run the R command news(package = “asremlPlus”). In particular, most functions are S3 methods and so the object supplied for the first argument must be of the class (the name after the last full stop in the function name) for which the function is a method and the class of the object can be omitted from the function name when calling the function. Versions 4.x-xx of asremlPlus are a major revamp of the package and include substantial syntax changes. Its alldiffs and ame methods can be applied to objects produced with other mixed modelling software. The current version is compatible with both ASReml-R versions 3 and 4.1, but not 4.0. The asremlPlus package is a collection of R functions to augment ASReml-R in fitting mixed models and packages generally in exploring prediction differences.
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