パッケージ 'KernSmooth' の情報
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開始行:
パッケージ 'KernSmooth' の情報
記述:
Package: KernSmooth
Priority: recommended
Version: 2.23-3
Date: 2009-09-04
Title: Functions for kernel smoothing for Wand & Jones
(1995)
Author: S original by Matt Wand. R port by Brian Ripley
<ripley@stats.ox.ac.uk>.
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>
Depends: R (>= 2.5.0), stats
Suggests: MASS
Description: functions for kernel smoothing (and density
estimation) corresponding to the book: Wand, M.P.
and Jones, M.C. (1995) "Kernel Smoothing".
License: Unlimited
Packaged: 2009-09-04 08:48:28 UTC; ripley
Repository: CRAN
Date/Publication: 2009-09-04 10:19:27
Built: R 2.10.0; universal-apple-darwin9.8.0; 2009-10-13
06:25:07 UTC; unix
索引:
bkde Compute a Binned Kernel Density Estimate
bkde2D Compute a 2D Binned Kernel Density Estimate
bkfe Compute a Binned Kernel Functional Estimate
dpih Select a Histogram Bin Width
dpik Select a Bandwidth for Kernel Density Estimation
dpill Select a Bandwidth for Local Linear Regression
locpoly Estimate Functions Using Local Polynomials
終了行:
パッケージ 'KernSmooth' の情報
記述:
Package: KernSmooth
Priority: recommended
Version: 2.23-3
Date: 2009-09-04
Title: Functions for kernel smoothing for Wand & Jones
(1995)
Author: S original by Matt Wand. R port by Brian Ripley
<ripley@stats.ox.ac.uk>.
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>
Depends: R (>= 2.5.0), stats
Suggests: MASS
Description: functions for kernel smoothing (and density
estimation) corresponding to the book: Wand, M.P.
and Jones, M.C. (1995) "Kernel Smoothing".
License: Unlimited
Packaged: 2009-09-04 08:48:28 UTC; ripley
Repository: CRAN
Date/Publication: 2009-09-04 10:19:27
Built: R 2.10.0; universal-apple-darwin9.8.0; 2009-10-13
06:25:07 UTC; unix
索引:
bkde Compute a Binned Kernel Density Estimate
bkde2D Compute a 2D Binned Kernel Density Estimate
bkfe Compute a Binned Kernel Functional Estimate
dpih Select a Histogram Bin Width
dpik Select a Bandwidth for Kernel Density Estimation
dpill Select a Bandwidth for Local Linear Regression
locpoly Estimate Functions Using Local Polynomials
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