Description Usage Arguments Details Value Examples
View source: R/bandwidth_selection.R
Returns a plugin bandwidth for multivariate data matrices for the estimation of local Gaussian correlations
1 2 | bw_select_plugin_multivariate(x = NULL, n = nrow(x), c = 1.75,
a = -1/6)
|
x |
The data matrix. |
n |
The number of data points. Can provide only this if we do not want to supply the entire data vector. |
c |
A constant, se details. |
a |
A constant, se details. |
This function takes in a data matrix with n
rows, and returns a the
real number c*n^a
, which is a quick and dirty way of selecting a
bandwidth for locally Gaussian density estimation. The number c
is by
default set to 1.75
, and c = -1/6
is the usual exponent, that
stems from the asymptotic convergence rate of the density estimate. This
function is usually called from the lg_main
wrapper function.
A number, the selected bandwidth.
1 2 3 | x <- cbind(rnorm(100), rnorm(100))
bw <- bw_select_plugin_multivariate(x = x)
bw <- bw_select_plugin_multivariate(n = 100)
|
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