OutlierDC-class: "OutlierDC" class

In OutlierDC: Outlier Detection using quantile regression for Censored Data

Description

The OutlierDC class presents outlier detection algorithms for censored data.

Objects from the Class

Objects can be created by calls of the form new("OutlierDC").

Slots

call:

evaluated function call

formula:

formula to be used with the type of "Formula"

raw.data:

data to be used with the type of "data.frame"

refined.data:

the data set after removing outliers

outlier.data:

the data set containing outliers

coefficients:

the estimated censored quantile regression coefficient matrix

fitted.mat:

the censored quantile regression fitted value matrix with the type of "matrix"

score:

outlying scores (scoring algorithm) or residuals (residual-based algorithm)

cutoff:

estimated scale parameter for the residual-based algorithm

lower:

lower fence vector used for the boxplot and scoring algorithms with the type of "vector"

upper:

upper fence vector used for the boxplot and scoring algorithms with the type of "vector"

outliers:

logical vector to determine which observations are outliers

n.outliers:

number of outliers to be used. The object of class "integer".

method:

outlier detection method to be used

rq.model:

censored quantile regression to be fitted

k_r:

a value to be used for the tightness of cut-offs in the residual-based algorithm

k_b:

a value to be used for the tightness of cut-offs in the boxplot algorithm

bound:

type of fence to be used in the model fittind

k_s:

a value to be used for the tightness of upper fence cut-offs used for the scoring algorithm with update function

Methods

coef

signature(object = "OutlierDC"): Print the coefficient matrix of censored quantile regression to be used. See coef.

plot

signature(x = "OutlierDC", y = "missing"): See plot.

show

signature(object = "OutlierDC"): See show.

update

signature(object = "OutlierDC"): Update the fitted object to find outliers in scoring algorithm. See update.

See Also

OutlierDC-package
coef, plot, show, update

Examples

showClass("OutlierDC")

Example output

Loading required package: survival
Loading required package: quantreg
Loading required package: SparseM

Attaching package: 'SparseM'

The following object is masked from 'package:base':

    backsolve


Attaching package: 'quantreg'

The following object is masked from 'package:survival':

    untangle.specials

Loading required package: Formula

Package OutlierDC (0.3-0) loaded.
Class "OutlierDC" [package "OutlierDC"]

Slots:
                                                                       
Name:          call      formula     raw.data refined.data outlier.data
Class:     language      Formula   data.frame   data.frame   data.frame
                                                                       
Name:  coefficients   fitted.mat        score       cutoff        lower
Class:   data.frame       matrix       vector       vector       vector
                                                                       
Name:         upper     outliers   n.outliers       method     rq.model
Class:       vector       vector      integer    character    character
                                                          
Name:           k_r          k_b        bound          k_s
Class:      numeric      numeric    character      numeric

OutlierDC documentation built on May 1, 2019, 11:31 p.m.