Robust.SE column

[AlexanderDaros]

Hi there, first off thanks for developing such a great R package.
I'm running several multi-level models and I know the package only produces point estimates for this type of model, however, I am interested in whether RESI can be used to implement robust testing of variables. I notice there is a "Robust.SE" column in the output. They seem to be used for the effect sizes, but it seems that my usual SE (std. Error) column is still used for t and p values in lmerMod.

Is there not a way to use them to calculate robust p-values that I can report in a table?

Example output after running lmer(model), then running resi_obj1 <- resi(model) and print(resi_obj1):

Coefficient Table
Estimate Std. Error df t value Pr(>|t|) Robust.SE Robust Wald RESI
(Intercept) 7.0728 0.5742 74.5223 12.3177 0.0000 0.5675 155.3224 1.4640
var1 0.3176 0.3530 63.4979 0.8998 0.3716 0.3804 0.6970 0.0000
var2 -0.4032 0.0836 168.4292 -4.8244 0.0000 0.1031 15.2800 0.4453
....

Analysis of Deviance Table (Type II Wald chisquare tests)

Response: sds
Chisq Df Pr(>Chisq) RESI
var1 0.6970 1 0.4038 0.0000
var2 15.2800 1 0.0001 0.4453
...