Description Usage Arguments Details Author(s) See Also Examples
View source: R/summary.bayesx.R
Takes an object of class "bayesx"
and displays summary statistics.
1 2 3 
object 
an object of class 
model 
for which model the plot should be provided, either an integer or a character, e.g.

digits 
choose the decimal places of represented numbers in the summary statistics. 
... 
not used. 
This function supplies detailed summary statistics of estimated objects with BayesX, i.e.
informations on smoothing parameters or variances are supplied, as well as random effects
variances and parametric coefficients. Depending on the model estimated and the output provided,
additional model specific information will be printed, e.g. if method = "MCMC"
was
specified in bayesx
, the number of iterations
, the burnin
and so forth
is shown. Also goodness of fit statistics are provided if the object
contains such
informations.
Nikolaus Umlauf, Thomas Kneib, Stefan Lang, Achim Zeileis.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21  ## Not run:
## generate some data
set.seed(111)
n < 500
## regressors
dat < data.frame(x = runif(n, 3, 3), z = runif(n, 3, 3),
w = runif(n, 0, 6), fac = factor(rep(1:10, n/10)))
## response
dat$y < with(dat, 1.5 + sin(x) + cos(z) * sin(w) +
c(2.67, 5, 6, 3, 4, 2, 6, 7, 9, 7.5)[fac] + rnorm(n, sd = 0.6))
## estimate model
b < bayesx(y ~ sx(x) + sx(z, w, bs = "te") + fac,
data = dat, method = "MCMC")
## now show summary statistics
summary(b)
## End(Not run)

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.