bcv: Biased Cross-Validation for Bandwidth Selection
In MASS: Support Functions and Datasets for Venables and Ripley's MASS
bcv R Documentation
Biased Cross-Validation for Bandwidth Selection
Description
Uses biased cross-validation to select the bandwidth of a Gaussian
kernel density estimator.
Usage
bcv(x, nb = 1000, lower, upper)
Arguments
x
a numeric vector
nb
number of bins to use.
lower, upper
Range over which to minimize. The default is almost always satisfactory.
Value
a bandwidth
References
Scott, D. W. (1992)
Multivariate Density Estimation: Theory, Practice, and Visualization.
Wiley.
Venables, W. N. and Ripley, B. D. (2002)
Modern Applied Statistics with S. Fourth edition. Springer.
See Also
ucv, width.SJ, density
Examples
bcv(geyser$duration)
MASS documentation built on June 22, 2024, 10:42 a.m.
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| bcv | R Documentation |
Biased Cross-Validation for Bandwidth Selection
Description
Uses biased cross-validation to select the bandwidth of a Gaussian kernel density estimator.
Usage
bcv(x, nb = 1000, lower, upper)
Arguments
x |
a numeric vector |
nb |
number of bins to use. |
lower, upper |
Range over which to minimize. The default is almost always satisfactory. |
Value
a bandwidth
References
Scott, D. W. (1992) Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
ucv, width.SJ, density
Examples
bcv(geyser$duration)
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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