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`

.

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)
# }