mwatson.tune: A function to calulate the bandwidth for the Watson kernel...
In nishanmudalige/watson.kernel: A package to calculate the kernel density estimates using the Watson kernel
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
A function to calulate the optimal bandwidth (tuning parameter) for the Watson kernel density estimator. Uses cross validation to calculate the bandwidth. ALso works for the multivariate Watson kernel density estimmator.
Usage
1
mwatson.tune(x)
Arguments
x
A matrix or dataframe of values on S^(p-1). Should not contain NA's or NaN's
low
The lower value of the bandwdith to search.
high
The upper value of the bandwdith to search.
Value
Optimal h
The optimal bandwidth obtained through cross-validation
cv
The value of the maximised pseudo-likelihood
Author(s)
Nishan Mudalige
References
Michail Tsagris, Giorgos Athineou, Anamul Sajib, Eli Amson, Micah J. Waldstein (2018); Package "Directional", version 3.4
Examples
1
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3
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5
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7
## install_github("baddstats/spherstat")
## library(spherstat)
##
## x = rWatson(n=100, mode=c(0,0), kappa=50, win=sphwin())
## x = x[[1]]
##
## mwatson.tune(x)
nishanmudalige/watson.kernel documentation built on May 6, 2019, 8:30 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
A function to calulate the optimal bandwidth (tuning parameter) for the Watson kernel density estimator. Uses cross validation to calculate the bandwidth. ALso works for the multivariate Watson kernel density estimmator.
Usage
1 | mwatson.tune(x)
|
Arguments
x |
A matrix or dataframe of values on S^(p-1). Should not contain NA's or NaN's |
low |
The lower value of the bandwdith to search. |
high |
The upper value of the bandwdith to search. |
Value
Optimal h |
The optimal bandwidth obtained through cross-validation |
cv |
The value of the maximised pseudo-likelihood |
Author(s)
Nishan Mudalige
References
Michail Tsagris, Giorgos Athineou, Anamul Sajib, Eli Amson, Micah J. Waldstein (2018); Package "Directional", version 3.4
Examples
1 2 3 4 5 6 7 | ## install_github("baddstats/spherstat")
## library(spherstat)
##
## x = rWatson(n=100, mode=c(0,0), kappa=50, win=sphwin())
## x = x[[1]]
##
## mwatson.tune(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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