Error when compute bootstrapped parameters glmmTMB model - semi-parametric bootstrapping

[md06451]

I conducted a linear mixed model using glmmTMB.
glmmTB_model_randomintercept <- glmmTMB(Max ~ Condition*Block+ (1|ID),
data = my_data,
na.action=na.exclude,
family = gaussian(link = "identity"),
REML = FALSE,
se = TRUE)
I want to compute bootstrapped parameters using semi-parametric bootstrapping. I receive the following error.
boot_results <-bootstrap_parameters(glmmTB_model_randomintercept, type = "semiparametric", iterations = 10)

Error in lme4::bootMer(model, boot_function, nsim = iterations, type = type,  : 
  semiparametric bootstrapping with use.u=FALSE not yet implemented

I can calculate the bootstrapped parameters when I select "parametric"

boot_results <-bootstrap_parameters(glmmTB_model_randomintercept, type = "parametric", iterations = 10)z

I read in the package description that it should be compatible for semiparametric bootstrapping & glmmTMB. Could you advice me on how I can extract those values?
Thanks in advance

[md06451]

Hi @strengejacke,
I was planning to pre-register the use of bootstrap_parameters, but I will only analyze the data later on, so there is still some time before the analyses are run.

Do you think this issue is likely to be fixed by the end of September-October? If so, I would be happy to propose the use of bootstrap_parameters in the preregistration.

Thank you again for your insights and for taking the time to look into this.