EBSPostK: Posterior probabilities of the number of segments
In EBS: Exact Bayesian Segmentation

Description Usage Arguments Details Value Author(s) References See Also Examples

For a single profile, computes the posterior probabilities of the number of segments given its prior.

1	EBSPostK(x, prior=numeric())

`x`	An object of class EBS returned by function EBSegmentation applied to data of interest.
`prior`	A vector of length Kmax giving prior probabilities on the value of K. Default value is uniform on 1:Kmax.

This function computes the posterior probabilities of the number of segments, so that the user can use Bayesian Model Averaging.

A vector of size Kmax containing the probability of each of the number of segments.

Alice Cleynen

Rigaill, Lebarbier & Robin (2012): Exact posterior distributions over the segmentation space and model selection for multiple change-point detection problems Statistics and Computing

Cleynen & Robin (2014): Comparing change-point location in independent series Statistics and Computing

EBSegmentation, EBSBIC, EBSICL

# changes for Poisson model
set.seed(1)
x<-c(rpois(125,1),rpois(100,5),rpois(50,1),rpois(75,5),rpois(50,1))
out <- EBSegmentation(x,model=1,Kmax=20)
Posterior<-EBSPostK(out)
plot(Posterior, type='b')