results.bamlss.default {bamlss} | R Documentation |
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, ...)
x |
A |
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 |
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. |
An object of class "bamlss.results"
.
## 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)