# cprob

0th

Percentile

##### Extract Contour Probabilities

Function to extract estimated contour probabilities of a particular effect estimated with P-splines using Markov chain Monte Carlo (MCMC) estimation techniques. Note that, the contour probability option must be specified within function sx, see the example.

Keywords
regression
##### Usage
cprob(object, model = NULL, term = NULL, ...)
##### Arguments
object

an object of class "bayesx".

model

for which model the contour probabilities should be provided, either an integer or a character, e.g. model = "mcmc.model".

term

if not NULL, the function will search for the term contour probabilities should be extracted for, either an integer or a character, eg term = "s(x)".

not used.

##### References

Brezger, A., Lang, S. (2008): Simultaneous probability statements for Bayesian P-splines. Statistical Modeling, 8, 141--186.

bayesx.

• cprob
##### Examples
# NOT RUN {
## generate some data
set.seed(111)
n <- 500

## regressor
dat <- data.frame(x = runif(n, -3, 3))

## response
dat\$y <- with(dat, 1.5 + sin(x) + rnorm(n, sd = 0.6))

## estimate model
## need to set the contourprob option,
## otherwise BayesX will not calculate probabilities