awssegment-class {aws} | R Documentation |
Class "awssegment"
Description
The "aws"
class is
used for objects obtained by functions aws.segment
Objects from the Class
Objects are created by calls to functions aws.segment
Slots
.Data
:Object of class
"list"
, usually empty.y
:Object of class
"array"
containing the original (response) datady
:Object of class
"numeric"
dimension attribute ofy
x
:Object of class
"numeric"
if provided the design pointsni
:Object of class
"numeric"
sum of weights used in final estimatemask
:Object of class
"logical"
mask of design points where computations are performedsegment
:Object of class
"array"
segmentation results (3 segments coded byc(-1, 0, 1)
)level
:Object of class
"numeric"
center of segment0
delta
:Object of class
"numeric"
half width of segment0
theta
:Object of class
"array"
~~theta
:Object of class
"array"
containes the smoothed object and in case of functionlpaws
its derivatives up to the specified degree. Dimension isdim(theta)=c(dy,p)
mae
:Object of class
"numeric"
Mean absolute error with respect to array in argumentu
if provided.var
:Object of class
"numeric"
pointwise variance oftheta[...,1]
xmin
:Object of class
"numeric"
not usedxmax
:Object of class
"numeric"
not usedwghts
:Object of class
"numeric"
weights used in location penalty for different coordinate directionsdegree
:not used
hmax
:Object of class
"numeric"
maximal bandwidthsigma2
:Object of class
"numeric"
estimated error variancescorr
:Object of class
"numeric"
estimated spatial correlationfamily
:Object of class
"character"
distribution ofy
, can be any ofc("Gaussian","Bernoulli","Poisson","Exponential", "Volatility","Variance")
shape
:Object of class
"numeric"
possible shape parameter of distribution ofy
lkern
:Object of class
"integer"
location kernel, can be any ofc("Triangle","Quadratic","Cubic","Plateau","Gaussian")
, defauts to"Triangle"
lambda
:Object of class
"numeric"
scale parameter used in adaptationladjust
:Object of class
"numeric"
factor to adjust scale parameter with respect to its predetermined default.aws
:Object of class
"logical"
Adaptation by Propagation-Separationmemory
:Object of class
"logical"
Adaptation by Stagewise Aggregationhomogen
:Object of class
"logical"
detect regions of homogeneity (used to speed up the calculations) currentlyFALSE
earlystop
:Object of class
"logical"
currentlyFALSE
varmodel
:Object of class
"character"
variance model used currently"Gaussian"
vcoef
:Object of class
"numeric"
containsNULL
call
:Object of class
"call"
that created the object.
Methods
- extract
signature(x = "awssegment")
: ...- plot
signature(x = "awssegment")
: ...signature(x = "awssegment")
: ...- risk
signature(y = "awssegment")
: ...- show
signature(object = "awssegment")
: ...- summary
signature(object = "awssegment")
: ...
Author(s)
Joerg Polzehl, polzehl@wias-berlin.de
See Also
Examples
showClass("awssegment")