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
bamlss. The object returned is of class "bamlss.results",
which has a plotting method, see
results.bamlss.default(x, what = c("samples", "parameters"), grid = -1, nsamps = NULL, burnin = NULL, thin = NULL, ...)
Should the results data be prepared using estimated parameters or samples?
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.
Integer, if results are computed using parameter samples, this argument controls
the number of samples that should be used, e.g., if
Integer, sets the number of samples that should be dropped from the beginning of the MCMC chain when creating results.
Integer, should the MCMC chain be thinned additionally?
Currently not used.
An object of class