Is there an equivalent of pairwise_survdiff( ) that I can use on data with competing risks?

Question

I plotted cumulative incidence curves using this model fit:

cuminc(Surv(time, outcome) ~ time_per, data) 

When I try plugging my data into pairwise_survdiff()

pairwise_survdiff(Surv(time, outcome) ~ time_per, data)

I get this warning message:

Warning messages:

1: In Surv(exposure_time, outcome) : Invalid status value, converted to NA

2: In Surv(exposure_time, outcome) : Invalid status value, converted to NA

3: In Surv(exposure_time, outcome) : Invalid status value, converted to NA

It's because my outcome variable has 3 levels (0=censored, 1=event of interest, 2=competing event). Is there a different method that I can use?