Summarize annual and cumulative percent change in risk

```
apc(x)
# S3 method for surveil
apc(x)
# S3 method for stand_surveil
apc(x)
```

## Arguments

- x
A fitted `surviel`

model, or standardized rates (a `stand_surveil`

object).

## Value

An `apc`

(list) object containing the following data frames:

- apc
A data frame containing a summary of the posterior distribution for period-specific percent change. This contains the posterior mean (`apc`

) 95 percent credible intervals (`lwr`

and `upr`

bounds).

- cpc
A data frame containing a summary of the posterior distribution for the cumulative percent change in risk at each time period. This contains the posterior mean (`cpc`

) and 95 percent credible interval (`lwr`

and `upr`

bounds).

- apc_samples
MCMC samples from the posterior distribution for period percent change

- cpc_samples
MCMC samples from the posterior distribution for cumulative percent change

## Examples

```
data(cancer)
# \donttest{
fit <- stan_rw(cancer, time = Year, group = Age,
iter = 900) # low iter for speed only
x <- apc(fit)
print(x)
plot(x, cumulative = TRUE)
# }
```