EBSPlotProbaProfiles: Plot distribution of changepoints of each profile
In EBS: Exact Bayesian Segmentation

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

For the set of profiles and their number of segments, plots the posterior distribution of each of the change-points

1	EBSPlotProbaProfiles(x,K=numeric(),data=FALSE)

`x`	An object of class EBSProfiles returned by function EBSProfiles applied to the matrix of profiles of interest.
`K`	The vector of number of segments of the segmentation for which the posterior distributions are wanted (one value for each profile). Must have 2<K[l]<getK(x)[l] for all profile l
`data`	A logical vector. If TRUE, the data is plotted as well as the posterior distributions. By default, data=FALSE.

This function is used to plot the posterior distribution of all changepoints of a segmentation in K[l] segments for all profiles l. Graph is subdivided into NbConditions plots, one for each profile.

A plot of the posterior distributions, for each profile.

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, EBSPlotProba

# changes for Poisson model
set.seed(1)
x1<-c(rpois(125,1),rpois(100,5),rpois(50,1),rpois(75,5),rpois(50,1))
x2<-c(rpois(125,3),rpois(75,4),rpois(75,1),rpois(125,8))
M<-rbind(x1,x2)
E <- EBSProfiles(M,model=1,K=10)
EBSPlotProbaProfiles(E, K=c(5,4), data=TRUE)