"awssegment"
The "aws"
class is
used for objects obtained by functions aws.segment
Objects are created by calls to functions aws.segment
.Data
:Object of class "list"
, usually empty.
y
:Object of class "array"
containing the original (response) data
dy
:Object of class "numeric"
dimension attribute of y
x
:Object of class "numeric"
if provided the design points
ni
:Object of class "numeric"
sum of weights used in final estimate
mask
:Object of class "logical"
mask of design points where computations are performed
segment
:Object of class "array"
segmentation results
(3 segments coded by c(-1, 0, 1)
)
level
:Object of class "numeric"
center of segment 0
delta
:Object of class "numeric"
half width of segment 0
theta
:Object of class "array"
~~
theta
:Object of class "array"
containes the smoothed object and in case
of function lpaws
its derivatives up to the specified degree.
Dimension is dim(theta)=c(dy,p)
mae
:Object of class "numeric"
Mean absolute error with respect to
array in argument u
if provided.
var
:Object of class "numeric"
pointwise variance of
theta[...,1]
xmin
:Object of class "numeric"
not used
xmax
:Object of class "numeric"
not used
wghts
:Object of class "numeric"
weights used in location penalty for
different coordinate directions
degree
:not used
hmax
:Object of class "numeric"
maximal bandwidth
sigma2
:Object of class "numeric"
estimated error variance
scorr
:Object of class "numeric"
estimated spatial correlation
family
:Object of class "character"
distribution of y
,
can be any of c("Gaussian","Bernoulli","Poisson","Exponential",
"Volatility","Variance")
shape
:Object of class "numeric"
possible shape parameter of distribution of y
lkern
:Object of class "integer"
location kernel, can be
any of c("Triangle","Quadratic","Cubic","Plateau","Gaussian")
, defauts to
"Triangle"
lambda
:Object of class "numeric"
scale parameter used in adaptation
ladjust
:Object of class "numeric"
factor to adjust scale parameter with respect to its
predetermined default.
aws
:Object of class "logical"
Adaptation by Propagation-Separation
memory
:Object of class "logical"
Adaptation by Stagewise Aggregation
homogen
:Object of class "logical"
detect regions of homogeneity (used to speed up
the calculations) currently FALSE
earlystop
:Object of class "logical"
currently FALSE
varmodel
:Object of class "character"
variance model used
currently "Gaussian"
vcoef
:Object of class "numeric"
contains NULL
call
:Object of class "call"
that created the object.
signature(x = "awssegment")
: ...
signature(x = "awssegment")
: ...
signature(x = "awssegment")
: ...
signature(y = "awssegment")
: ...
signature(object = "awssegment")
: ...
signature(object = "awssegment")
: ...
Joerg Polzehl, polzehl@wias-berlin.de
aws.segment