summary.bamlss {bamlss} | R Documentation |

## Summary for BAMLSS

### Description

The function takes an object of class `"bamlss"`

and produces summaries
of optimizer and sampler function outputs.

### Usage

```
## S3 method for class 'bamlss'
summary(object, model = NULL,
FUN = NULL, parameters = TRUE, ...)
## S3 method for class 'summary.bamlss'
print(x, digits = max(3, getOption("digits") - 3), ...)
```

### Arguments

`object` |
An object of class "bamlss". |

`x` |
An oject of class |

`model` |
Character or integer, specifies the model for which a summary should be computed. |

`FUN` |
Function that should be applied on samples, see also function |

`parameters` |
If an optimizer function is applied within the |

`digits` |
Controls number of digits printed in output. |

`...` |
Other arguments. |

### Details

If the fitted model contains samples, summaries according to the supplied function can be
computed, e.g., different quantiles of samples. See also function `coef.bamlss`

that extracts the coefficient summaries.

If an optimizer function was used within the `bamlss`

call, estimated parameters
will be included per default into the summary.

Note that summaries not based on samples can be user defined, e.g., as returned from function
`samplestats`

or the return values of optimizer function, e.g., see function
`opt_bfit`

.

### Value

`summary.bamlss`

produces the following summary:

`call` |
The initial |

`family` |
The family that is used for modeling. |

`formula` |
The model formula. |

`model.matrix` |
Summary of parameteric terms. |

`smooth.construct` |
Summary of smooth terms. |

`model.stats` |
Other model statistics, e.g., as returned from
optimizer functions and/or produces by function |

### See Also

### Examples

```
## Not run: ## Generate some data.
d <- GAMart()
## Model formula.
f <- list(
num ~ s(x1) + s(x2),
sigma ~ s(x3) + te(lon,lat)
)
## Estimate model.
b <- bamlss(f, data = d)
## Print the summary.
print(summary(b))
## End(Not run)
```

*bamlss*version 1.2-3 Index]