bw_hscv: Smoothed cross-validation bandwidth selector.
In salbeke/rKIN: (Kernel) Isotope Niche Estimation
bw_hscv R Documentation
Smoothed cross-validation bandwidth selector.
Description
A simple wrapper for the ks::Hscv function.
Usage
bw_hscv(x)
Arguments
x
2d matrix of data values.
Value
A numeric vector of estimated x and y bandwidths. Must subset your data if you wish to obtain group specific bandwidths.
Author(s)
Shannon E. Albeke, Wyoming Geographic Information Science Center, University of Wyoming
Examples
data("rodents")
# Subset the data for a single species
spec1<- rodents[rodents$Species == "Species1", ]
# Calculate the bandwidth
bw_hscv(as.matrix(spec1[, c("Ave_C", "Ave_N")]))
salbeke/rKIN documentation built on April 5, 2025, 11:32 p.m.
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| bw_hscv | R Documentation |
Smoothed cross-validation bandwidth selector.
Description
A simple wrapper for the ks::Hscv function.
Usage
bw_hscv(x)
Arguments
x |
2d matrix of data values. |
Value
A numeric vector of estimated x and y bandwidths. Must subset your data if you wish to obtain group specific bandwidths.
Author(s)
Shannon E. Albeke, Wyoming Geographic Information Science Center, University of Wyoming
Examples
data("rodents")
# Subset the data for a single species
spec1<- rodents[rodents$Species == "Species1", ]
# Calculate the bandwidth
bw_hscv(as.matrix(spec1[, c("Ave_C", "Ave_N")]))
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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