adding time-dependent covariate in flexsurvspline

[quanhomie]

Hi, thanks for giving us great package to use.

I'm trying to fitting model with time-dependent covariate using flexsurvspline function

flexsurvspline(Surv(start_t, end_t, status) ~ cov1, 
               data = data, k = 1)

but it gives me an error message saying,

Error in optim(method = "BFGS", par = c(gamma0 = 2.25366952832903, gamma1 = 0.605209668922837,  : 
  initial value in 'vmmin' is not finite`

The code run well if I use the Surv object not in counting process form, which means

flexsurvspline(Surv(obs_time, status) ~ cov1, 
               data = data, k = 1)

I'm wondering whether this error occurs because flexsurvspline function cannot be used for fitting model with time-dependent covariate or occurs because of the optimization problem.

The test data file is attached here test_data.csv

Thank you in advance.

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