plot.3Stage: Plot Parameter Selection Results in 3-Stage Estimation

In DRIP: Discontinuous Regression and Image Processing

Plot Parameter Selection Results in 3-Stage Estimation

Description

Plot information about a 3-stage estimation bandwidth selection object.

Usage

## S3 method for class 'Three_Stage_Parameters'
plot(x, ...)

Arguments

x	A three-stage estimation bandwidth selection object.
...	Further arguments passed to or from other methods.

Details

It plots the cross-validation (no blur involved) or modified cross-validation (there is blur involved) scores against the specified bandwidth values.

Value

A plot of the (modified) cross-validation scores is produced.

Author(s)

Yicheng Kang

References

Qiu, P. and Kang, Y. (2015) “Blind Image Deblurring Using Jump Regression Analysis”, Statistica Sinica, 25, 879 – 899, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5705/ss.2014.054")}.

See Also

threeStageParSel, print.Three_Stage_Parameters, summary.Three_Stage_Parameters

Examples

## Not run: 
step.edges <- stepEdge(peppers, bandwidth = 9, thresh = 17) 
roof.edges <- roofEdge(peppers, bandwidth = 6, thresh = 3000,
    edge1 = step.edges) 
set.seed(24)
# Time consuming
parSel <- threeStageParSel(image = peppers, edge1 = step.edges,
    edge2 = roof.edges, bandwidth = 3:4, nboot = 1, blur = TRUE)
plot(parSel)

## End(Not run)

DRIP documentation built on April 4, 2025, 12:31 a.m.