M0: M0 Least-Squares Cross-Validation
In bpkde: Back-Projected Kernel Density Estimation
Description
Usage
Arguments
Value
Author(s)
References
Description
Compute the M0 least-squares cross-validation score.
Usage
1
Arguments
grid
an object of class linbin.
kern.fun
the density function of the kernel. The first argument must be a matrix whose rows contain the points where the density function will be evaluated. See, for example, the dmvnorm function in the mvtnorm package.
...
additional arguments are passed to kern.fun.
Value
a single numeric value: the M0 least-squares cross-validation score.
Author(s)
Kjell Konis kjell.konis@me.com
References
Silverman, B. W. (1986) Density Estimation for Statistics and Data Analysis. London: Chapman and Hall.
bpkde documentation built on May 2, 2019, 6:07 p.m.
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Description Usage Arguments Value Author(s) References
Description
Compute the M0 least-squares cross-validation score.
Usage
1 |
Arguments
grid |
an object of class |
kern.fun |
the density function of the kernel. The first argument must be a matrix whose rows contain the points where the density function will be evaluated. See, for example, the |
... |
additional arguments are passed to |
Value
a single numeric value: the M0 least-squares cross-validation score.
Author(s)
Kjell Konis kjell.konis@me.com
References
Silverman, B. W. (1986) Density Estimation for Statistics and Data Analysis. London: Chapman and Hall.
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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