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Get the diagnostics for the model fitted. This will print a table of combinations missing in the data. For each random factor in the model a table is printed.
diagnostics(varComp)
An object of class varComp.
A list of tables is invisibly returned.
Other Mixed model analysis: CRDR(), correlations(), gxeVarComp(), herit(), plot.varComp(), predict.varComp(), vc()
CRDR()
correlations()
gxeVarComp()
herit()
plot.varComp()
predict.varComp()
vc()
# NOT RUN { ## Fit a mixed model. geVarComp <- gxeVarComp(TD = TDMaize, trait = "yld") ## Display diagnostics. diagnostics(geVarComp) # }
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