QQ plot blank in check model for glmmTMB with tweedie distribution about performance HOT 4 CLOSED

library(performance)

data(sleepstudy, package = "lme4")
d <- dplyr::sample_n(sleepstudy, 50)
m <- glmmTMB::glmmTMB(Reaction ~ Days,
  data = d,
  family = glmmTMB::tweedie
)
#> Warning in finalizeTMB(TMBStruc, obj, fit, h, data.tmb.old): Model convergence
#> problem; non-positive-definite Hessian matrix. See vignette('troubleshooting')
out <- check_model(m, iterations = 1, verbose = TRUE)
#> Not enough model terms in the conditional part of the model to check for
#>   multicollinearity.
#> QQ plot could not be created. Cannot extract residuals from objects of
#>   class `glmmTMB`. Maybe the model class or the `tweedie` family does not
#>   support the computation of (deviance) residuals?
#> `check_outliers()` does not yet support models of class `glmmTMB`.
out

library(performance)
data(sleepstudy, package = "lme4")
set.seed(123)
d <- sleepstudy[sample.int(50), ]
m <- suppressWarnings(glmmTMB::glmmTMB(Reaction ~ Days,
  data = d,
  family = glmmTMB::tweedie
))
check_model(m, iterations = 2, verbose = TRUE)
#> Not enough model terms in the conditional part of the model to check for
#>   multicollinearity.
#> `check_outliers()` does not yet support models of class `glmmTMB`.