blockSeg-class: Class 'blockSeg'

In jchiquet/blockseg: Two Dimensional Change-Points Detection

Description

Class of object returned by the blockSeg function.

Usage

## S4 method for signature 'blockSeg'
print(x, ...)

## S4 method for signature 'blockSeg'
show(object)

getComplexity(object)

## S4 method for signature 'blockSeg'
getComplexity(object)

## S4 method for signature 'blockSeg'
residuals(object, Y)

## S4 method for signature 'blockSeg'
deviance(object, Y)

getBreaks(object)

## S4 method for signature 'blockSeg'
getBreaks(object)

getCompressYhat(object, Y)

## S4 method for signature 'blockSeg'
getCompressYhat(object, Y)

Arguments

x	in the print method, a blockSeg object
...	in the print method, additional parameters (ignored)
object	an object with class blockSeg
Y	the original data matrix

Slots

Beta

a Matrix object of type dgCMatrix, encoding the solution path of the underlying LARS algorithm. Omitted if the blockSeg function was called with the option Beta=FALSE.

Lambda

a numeric vector with the successive values of Lambda, that is, the value of the penalty parameter corresponding to a new event in the path (either a variable activation or deactivation).

RowBreaks

a list of vectors, one per step of the LARS algorithm. Each vector contains the breaks currently identified along the ROWS of the 2-dimensional signal at the current step.

ColBreaks

a list of vectors, one per step of the LARS algorithm. Each vector contains the breaks currently identified along the COLUMNS of the 2-dimensional signal at the current step.

Actions

a list with the successive actions at each step of the LARS algorithm.

See Also

See also plot,blockSeg-method, predict,blockSeg-method and blockSeg.

jchiquet/blockseg documentation built on Aug. 30, 2019, 9:18 a.m.