R: Class '"awssegment"'

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) 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, polzehl@wias-berlin.de

### See Also

`aws.segment`

### Examples

    showClass("awssegment")

[Package aws version 2.5-1 Index]