simulate_error: Simulate errors
In bbefkr: Bayesian bandwidth estimation and semi-metric selection for the functional kernel regression with unknown error density
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Simulate errors which has the specified error density
Usage
1
simulate_error(samplesize, errordensity)
Arguments
samplesize
Sample size
errordensity
Type of error density
Value
A vector of simulated error, which follows the specific error density
Author(s)
Han Lin Shang
References
J. S. Marron and M. P. Wand (1992) ‘Exact Mean Integrated Squared Error’, Annals of Statistics, 20(2), 712-736.
Examples
1
simulate_error(samplesize = 100, errordensity = "normal")
bbefkr documentation built on May 2, 2019, 3:04 a.m.
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Description Usage Arguments Value Author(s) References Examples
Description
Simulate errors which has the specified error density
Usage
1 | simulate_error(samplesize, errordensity)
|
Arguments
samplesize |
Sample size |
errordensity |
Type of error density |
Value
A vector of simulated error, which follows the specific error density
Author(s)
Han Lin Shang
References
J. S. Marron and M. P. Wand (1992) ‘Exact Mean Integrated Squared Error’, Annals of Statistics, 20(2), 712-736.
Examples
1 | simulate_error(samplesize = 100, errordensity = "normal")
|
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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