bw: Density kernel bandwidth
In rushkin/outlier: Outlier detection in multidimensional data
Description
Usage
Arguments
Value
View source: R/outlier_detection.R
Description
The Silverman's rule of thumb kernel bandwidth for Gaussian 2nd order density kernel, for multidimensional data.
Usage
1
bw(x)
Arguments
x
data, as a matrix. Each row is a data points, each column is a dimension. NA values will be ignored.
Value
a vector of bandwidths, the length is the number of columns in x.
rushkin/outlier documentation built on Dec. 18, 2020, 6:48 a.m.
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Description Usage Arguments Value
View source: R/outlier_detection.R
Description
The Silverman's rule of thumb kernel bandwidth for Gaussian 2nd order density kernel, for multidimensional data.
Usage
1 | bw(x)
|
Arguments
x |
data, as a matrix. Each row is a data points, each column is a dimension. NA values will be ignored. |
Value
a vector of bandwidths, the length is the number of columns in x.
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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