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.
See also
Other Mixed model analysis:
CRDR(),
correlations(),
gxeVarComp(),
herit(),
plot.varComp(),
predict.varComp(),
vc()
Examples
## Fit a mixed model.
geVarComp <- gxeVarComp(TD = TDMaize, trait = "yld")
## Display diagnostics.
diagnostics(geVarComp)
#> No missing combinations for genotype x trial.
#>