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DRIP (version 2.3)

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

Description

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

Usage

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

Value

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

Arguments

x

A three-stage estimation bandwidth selection object.

...

Further arguments passed to or from other methods.

Author

Yicheng Kang

Details

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

References

Qiu, P. and Kang, Y. (2015) ``Blind Image Deblurring Using Jump Regression Analysis'', Statistica Sinica, 25, 879 -- 899, tools:::Rd_expr_doi("10.5705/ss.2014.054").

See Also

threeStageParSel, print.Three_Stage_Parameters, summary.Three_Stage_Parameters

Examples

Run this code
if (FALSE) {
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)
}

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