# results.bamlss.default

##### Compute BAMLSS Results for Plotting and Summaries

The results function combines estimated parameters and/or samples with the
`bamlss.frame`

and computes the data that can be used, e.g., for
creating effect plots or summary statistics. The function is usually used
internally within `bamlss`

. The object returned is of class "bamlss.results",
which has a plotting method, see `plot.bamlss.results`

.

- Keywords
- dplot

##### Usage

```
results.bamlss.default(x, what = c("samples", "parameters"),
grid = -1, nsamps = NULL, burnin = NULL, thin = NULL, ...)
```

##### Arguments

- x
A

`bamlss.frame`

which has estimated parameters or samples. See also`bfit`

and`GMCMC`

.- what
Should the results data be prepared using estimated parameters or samples?

- grid
Integer, sets the number of grid points for univariate functions to be used for creating results data, e.g., for plotting. This is more efficient when using data sets with a large number of unique covariate values. If negative suitable defaults are chosen.

- nsamps
Integer, if results are computed using parameter samples, this argument controls the number of samples that should be used, e.g., if

`nsamps = 100`

only 100 samples with equidistant intervals are selected. Basically similar to argument`thin`

.- burnin
Integer, sets the number of samples that should be dropped from the beginning of the MCMC chain when creating results.

- thin
Integer, should the MCMC chain be thinned additionally?

- …
Currently not used.

##### Value

An object of class `"bamlss.results"`

.

##### See Also

##### Examples

```
# NOT RUN {
## Simulate data.
d <- GAMart()
## Estimate model with no results.
b <- bamlss(num ~ s(x1) + s(x2) + s(x3),
data = d, results = FALSE)
## Compute model results
a <- results.bamlss.default(b)
## Plot results for smooth terms.
plot(a)
# }
```

*Documentation reproduced from package bamlss, version 1.1-2, License: GPL-2 | GPL-3*