R: Compute BAMLSS Results for Plotting and Summaries

results.bamlss.default {bamlss} | R Documentation

## Compute BAMLSS Results for Plotting and Summaries

### Description

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`.

### 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

`plot.bamlss.results`, `bamlss`.

### 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)

    ## End(Not run)

[Package bamlss version 1.1-6 Index]