awssegment-class: Class '"awssegment"'

In aws: Adaptive Weights Smoothing

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) 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.

Methods

extract

signature(x = "awssegment"): ...

plot

signature(x = "awssegment"): ...

print

signature(x = "awssegment"): ...

risk

signature(y = "awssegment"): ...

show

signature(object = "awssegment"): ...

summary

signature(object = "awssegment"): ...

Author(s)

Joerg Polzehl, [e-mail]

See Also

aws.segment

Examples

showClass("awssegment")

aws documentation built on Oct. 1, 2024, 1:08 a.m.