Description Objects from the Class Slots Methods Author(s) See Also
A class for Segmentation objects.
Objects can be created by calls of the form new("Segmentor", ...).
new("Segmentor", ...):creates a new object with class Segmentor
data:Object of class "numeric", the vector of data
model:Object of class "character", the assumed distribution of the data
Kmax:Object of class "numeric", the maximum number of segments considered for the segmentation
breaks:Object of class "matrix", the breakpoints of the optimal segmentation for each value of k
mean:Object of class "numeric", if model = Variance, the mean used in the analysis
overdispersion:Object of class "numeric", if model = Negative Binomial, the overdispersion used in the analysis
parameters:Object of class "matrix", the ML estimates of the parameter of each segment of the optimal segmentation for each value of k
likelihood:Object of class "matrix", the likelihood of the segmentation for each value of k
Cost:Object of class "matrix", the cost of the segmentation up to point j in i segments
Pos:Object of class "matrix", the last change-point location of the segmentation up to point j in i segments
compression:Object of class "numeric", the value of the compression obtained prior to segmentation of the data
signature(object = "Segmentor"): retrieves data slot
signature(object = "Segmentor"): retrieves model slot
signature(object = "Segmentor"): retrieves Kmax slot
signature(object = "Segmentor"): retrieves breaks slot
signature(object = "Segmentor"): retrieves mean slot
signature(object = "Segmentor"): retrieves overdispersion slot
signature(object = "Segmentor"): retrieves likelihood slot
signature(object = "Segmentor"): retrieves Cost slot
signature(object = "Segmentor"): retrieves parameters slot
signature(object = "Segmentor"): retrieves Pos slot
signature(object = "Segmentor"): retrieves compression slot
Alice Cleynen
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