fitted.bamlss {bamlss} | R Documentation |

## BAMLSS Fitted Values

### Description

Function to compute fitted values for `bamlss`

models. The function calls
`predict.bamlss`

to compute fitted values from samples.

### Usage

```
## S3 method for class 'bamlss'
fitted(object, model = NULL, term = NULL,
type = c("link", "parameter"), samples = TRUE,
FUN = c95, nsamps = NULL, ...)
```

### Arguments

`object` |
An object of class |

`model` |
Character or integer, specifies the model for which fitted values should be computed. |

`term` |
Character or integer, specifies the model terms for which fitted values are required.
Note that if |

`type` |
If |

`samples` |
Should fitted values be computed using samples of parameters or estimated parameters
as returned from optimizer functions (e.g., function |

`FUN` |
A function that should be applied on the samples of predictors or
parameters, depending on argument |

`nsamps` |
If the fitted |

`...` |
Arguments passed to function |

### Value

Depending on arguments `model`

, `FUN`

and the structure of the `bamlss`

model, a list of fitted values or simple vectors or matrices of fitted values.

### See Also

### Examples

```
## Not run: ## Generate some data.
d <- GAMart()
## Model formula.
f <- list(
num ~ s(x1) + s(x2) + s(x3) + te(lon,lat),
sigma ~ s(x1) + s(x2) + s(x3) + te(lon,lat)
)
## Estimate model.
b <- bamlss(f, data = d)
## Fitted values returned from optimizer.
f1 <- fitted(b, model = "mu", samples = FALSE)
## Fitted values returned from sampler.
f2 <- fitted(b, model = "mu", samples = TRUE, FUN = mean)
plot(f1, f2)
## End(Not run)
```

*bamlss*version 1.2-4 Index]