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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