`smooth_check.Rd`

For each smooth term estimated with MCMC, the function computes 95 intervals and simply computes the fraction of the cases where the interval does not contain zero.

`smooth_check(object, newdata = NULL, model = NULL, term = NULL, ...)`

- object
A fitted model object which contains MCMC samples.

- newdata
Optionally, use new data for computing the check.

- model
Character, for which model should the check be computed?

- term
Character, for which term should the check be computed?

- ...
Arguments passed to

`predict.bamlss`

.

```
if (FALSE) ## Simulate some data.
d <- GAMart()
## Model formula.
f <- list(
num ~ s(x1) + s(x2) + s(x3),
sigma ~ s(x1) + s(x2) + s(x3)
)
## Estimate model with MCMC.
b <- bamlss(f, data = d)
#> Error in bamlss(f, data = d): object 'd' not found
## Run the check, note that all variables
## for sigma should have no effect.
smooth_check(b)
#> Error in smooth_check(b): object 'b' not found
```