Latest install of rstanarm stan_surv() fails with random effects.

Summary:

I downloaded rstanarm in my usual way and tried to run a stan_surv model with random effects and it errors.

Description:

When I run the example from stan_surv() that includes random I get the error:

Error : Exception: model_surv_namespace::model_surv: V_event[i_0__][i_1__] is 0, but must be greater than or equal to 1  (in 'model_surv' at line 648)

In addition: Warning messages:
1: In status < 0 || status > 3 :
  'length(x) = 40 > 1' in coercion to 'logical(1)'
2: In status < 0 || status > 3 :
  'length(x) = 40 > 1' in coercion to 'logical(1)'
3: In status < 0 || status > 3 :
  'length(x) = 40 > 1' in coercion to 'logical(1)'
4: In status < 0 || status > 3 :
  'length(x) = 40 > 1' in coercion to 'logical(1)'
failed to create the sampler; sampling not done
Error in check_stanfit(stanfit) : 
  Invalid stanfit object produced please report bug

Reproducible Steps:

I download rstanarm by running: git clone -b feature/survival https://github.com/stan-dev/rstanarm.git in the Terminal. I then run devtools::document() and Build the R package locally.

I then ran:

m_frail <- stan_surv(
  formula = Surv(eventtime, status) ~ trt + (1 | site), 
  data    = frail[1:40,], 
  basehaz = "exp", 
  chains  = 1,
  refresh = 0,
  iter    = 600,
  seed    = 123)

And got the error above. Other random effects model also fail.

RStanARM Version:

I am running rstanarm v2.21.3

R Version:

I am running R version v4.2.2

Operating System:

Your operating system (e.g., OS X 13.2.1)

Start by reproducing the supplied stan_surv() call with the frail[1:40,] data and random-effects formula. Trace the random-effects path into model_surv around the reported validation error at line 648; done means the example creates a valid fit without the V_event error or status warnings.