MISE: Approximate Mean Integrated Squared Error
In CHsharp: Choi and Hall Style Data Sharpening
Description
Usage
Arguments
Value
Author(s)
Description
MISE for penalized sharpened regression based on trapezoid integration.
Usage
1
Arguments
x
numeric explanatory vector
xgrid
numeric vector
sigma2
numeric vector of variance(s)
lambda
numeric penalty constant
h
numeric bandwidth
g
regression function, numeric-valued
A
numeric matrix, smoother
B
numeric matrix, based on penalty
Value
A vector containing the finite sample variance, squared bias,
and mean integrated squared error.
Author(s)
W.J. Braun
CHsharp documentation built on May 1, 2019, 6:48 p.m.
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Description Usage Arguments Value Author(s)
Description
MISE for penalized sharpened regression based on trapezoid integration.
Usage
1 |
Arguments
x |
numeric explanatory vector |
xgrid |
numeric vector |
sigma2 |
numeric vector of variance(s) |
lambda |
numeric penalty constant |
h |
numeric bandwidth |
g |
regression function, numeric-valued |
A |
numeric matrix, smoother |
B |
numeric matrix, based on penalty |
Value
A vector containing the finite sample variance, squared bias, and mean integrated squared error.
Author(s)
W.J. Braun
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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