estimate_b_cv: Perform an estimation of the bandwidth using least-squares...
In StevenGolovkine/denoisr: Nonparametric Kernel Smoothing Methods for Functional Data
Description
Usage
Arguments
Value
See Also
Examples
Description
The function performs an estimation of the bandwidth for a univariate kernel
regression estimator defined over continuous data using least-square cross
validation for each curve and return the average bandwidth among them.
Usage
1
Arguments
data
A list, where each element represents a curve. Each curve have to
be defined as a list with two entries:
-
$t The sampling points
-
$x The observed points.
Value
Numeric, an estimation of the bandwidth.
See Also
Other estimate bandwidth:
estimate_b_list(),
estimate_b()
Examples
1
2
3
4
5
## Not run:
X <- generate_fractional_brownian(N = 5, M = 300, H = 0.5, sigma = 0.05)
estimate_b_cv(X)
## End(Not run)
StevenGolovkine/denoisr documentation built on Nov. 15, 2021, 8:44 a.m.
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Description Usage Arguments Value See Also Examples
Description
The function performs an estimation of the bandwidth for a univariate kernel regression estimator defined over continuous data using least-square cross validation for each curve and return the average bandwidth among them.
Usage
1 |
Arguments
data |
A list, where each element represents a curve. Each curve have to be defined as a list with two entries:
|
Value
Numeric, an estimation of the bandwidth.
See Also
Other estimate bandwidth:
estimate_b_list(),
estimate_b()
Examples
1 2 3 4 5 | ## Not run:
X <- generate_fractional_brownian(N = 5, M = 300, H = 0.5, sigma = 0.05)
estimate_b_cv(X)
## End(Not run)
|
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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