Obtains predictions from an object fitted with waasb.

# S3 method for waasb
predict(object, ...)

Arguments

object

An object of class waasb

...

Currently not used

Value

A tibble with the predicted values for each variable in the model

Examples

# \donttest{ library(metan) model <- waasb(data_ge, env = ENV, gen = GEN, rep = REP, resp = c(GY, HM))
#> Method: REML/BLUP
#> Random effects: GEN, GEN:ENV
#> Fixed effects: ENV, REP(ENV)
#> Denominador DF: Satterthwaite's method
#> --------------------------------------------------------------------------- #> P-values for Likelihood Ratio Test of the analyzed traits #> --------------------------------------------------------------------------- #> model GY HM #> COMPLETE NA NA #> GEN 1.11e-05 5.07e-03 #> GEN:ENV 2.15e-11 2.27e-15 #> --------------------------------------------------------------------------- #> All variables with significant (p < 0.05) genotype-vs-environment interaction
predict(model)
#> # A tibble: 420 x 5 #> ENV GEN REP GY HM #> <fct> <fct> <fct> <dbl> <dbl> #> 1 E1 G1 1 2.46 46.6 #> 2 E1 G1 2 2.44 46.0 #> 3 E1 G1 3 2.31 47.1 #> 4 E1 G2 1 2.84 45.7 #> 5 E1 G2 2 2.82 45.1 #> 6 E1 G2 3 2.69 46.2 #> 7 E1 G3 1 2.89 46.3 #> 8 E1 G3 2 2.87 45.7 #> 9 E1 G3 3 2.75 46.8 #> 10 E1 G4 1 2.61 48.0 #> # ... with 410 more rows
# }