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.
#>