smooth_check {bamlss} | R Documentation |

## MCMC Based Simple Significance Check for Smooth Terms

### Description

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.

### Usage

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

### Arguments

`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 |

### Examples

```
## Not run: ## 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)
## Run the check, note that all variables
## for sigma should have no effect.
smooth_check(b)
## End(Not run)
```

[Package

*bamlss*version 1.2-3 Index]