A class for Bayesian Segmentation objects.

Objects can be created by calls of the form `new("EBS", ...)`

.

`new("EBS", ...)`

:creates a new object with class EBS

`model`

:Object of class

`"character"`

, the assumed distribution of the data`data`

:Object of class

`"numeric"`

, the data to be segmented`length`

:Object of class

`"numeric"`

, the length of the profile`Kmax`

:Object of class

`"numeric"`

, the maximum number of segments considered for the segmentation`HyperParameters`

:Object of class

`"numeric"`

, the hyperparameters used for the prior distribution on the model parameters`Variance`

:Object of class

`"numeric"`

, if model = Normal Homoscedastic, the variance used in the analysis`overdispersion`

:Object of class

`"numeric"`

, if model = Negative Binomial, the overdispersion used in the analysis`Li`

:Object of class

`"numeric"`

, matrix of size Kmax*(length+1) where element [i,j] is the log-probability of interval [1,j[ being segmented in i segments`Col`

:Object of class

`"numeric"`

, a matrix of size (length+1)*Kmax where element [i,j] is the log-probability of interval [i,n] being segmented in j segments`matProba`

:a matrix of size (length+1)*(length+1)where element [i,j] is the log-probability of interval [i,j[

`unif`

:a boolean stating whether prior on segmentation is uniform given number of segments

- getModel
`signature(object = "EBS")`

: retrieves model slot- getData
`signature(object = "EBS")`

: retrieves data slot- getLength
`signature(object = "EBS")`

: retrieves length slot- getKmax
`signature(object = "EBS")`

: retrieves Kmax slot- getHyperParameters
`signature(object = "EBS")`

: retrieves HyperParameters slot- getVariance
`signature(object = "EBS")`

: retrieves Variance slot- getOverdispersion
`signature(object = "EBS")`

: retrieves overdispersion slot- getLi
`signature(object = "EBS")`

: retrieves Li slot- getCol
`signature(object = "EBS")`

: retrieves Col slot- getP
`signature(object = "EBS")`

: retrieves matProba slot- getPriorm
`signature(object = "EBS")`

: retrieves unif slot

Alice Cleynen

1 2 3 4 5 6 7 8 | ```
showClass("EBS") # shows the structure of the cpt class
data<-c(rpois(100,2),rpois(100,5))
# creates a new EBS object containing the segmentation of x
E<-EBSegmentation(data)
class(E) # verifies the class of E
getModel(E) # retrieves model of the segmentation
getLength(E) # retrieves the length of the signal
``` |

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