print.Three_Stage_Parameters | R Documentation |
Display information about a three-stage estimation bandwidth selection object.
## S3 method for class 'Three_Stage_Parameters'
print(x, type = "all", ...)
x |
A three-stage estimation bandwidth selection object. |
type |
The type of information to display. The "cv_scores" option prints the cross-validation or modified cross-validation scores for each bandwidth. The "bandwidth" option prints the selected the bandwidth. The "all" option prints all the information. |
... |
Further arguments passed to or from other methods. |
Prints some information about a three-stage estimation bandwidth selection object. In particular, this method prints the cross-validation or modified cross-validation scores and the selected bandwidth.
Display (modified) cross-validation scores and the selected bandwidth.
Yicheng Kang
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")}.
threeStageParSel
, summary.Three_Stage_Parameters
,
plot.Three_Stage_Parameters
## 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)
print(parSel, type = "all")
## End(Not run)
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