error.den: Compute the probability density function and cumulative...
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
See Also
Description
With the estimated bandwidth of residuals, error density can be approximated by the kernel density estimator.
Usage
1
error.den(band, eps, res.data)
Arguments
band
Bandwidth of residuals
eps
Grid point
res.data
Residuals obtained from the estimated conditional mean
Value
Numerical values
Author(s)
Han Lin Shang
References
H. L. Shang (2013) ‘Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density’, Computational Statistics and Data Analysis, 67, 185-198.
H. L. Shang (2013) ‘Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density’, Computational Statistics, in press.
See Also
bbefkr documentation built on May 2, 2019, 3:04 a.m.
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.
Description Usage Arguments Value Author(s) References See Also
Description
With the estimated bandwidth of residuals, error density can be approximated by the kernel density estimator.
Usage
1 | error.den(band, eps, res.data)
|
Arguments
band |
Bandwidth of residuals |
eps |
Grid point |
res.data |
Residuals obtained from the estimated conditional mean |
Value
Numerical values
Author(s)
Han Lin Shang
References
H. L. Shang (2013) ‘Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density’, Computational Statistics and Data Analysis, 67, 185-198.
H. L. Shang (2013) ‘Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density’, Computational Statistics, in press.
See Also
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.