Description Usage Arguments Details Value Examples
View source: R/bandwidth_selection.R
Returns a plugin bandwidth for data vectors for use with univariate locally Gaussian density estimation
1 | bw_select_plugin_univariate(x = NULL, n = length(x), c = 1.75, a = -1/5)
|
x |
The data vector. |
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 vector of length n
, and returns a the
real number c*n^a
, which is a quick and dirty way of selecting a
bandwidth for univariate locally Gaussian density estimation. The number
c
is by default set to 1.75
, and c = -1/5
is the usual
exponent that stems from the asymptotic convergence rate of the density
estimate. Recommended use of this function is through the lg_main
wrapper
function.
A number, the selected bandwidth.
1 2 3 | x <- rnorm(100)
bw <- bw_select_plugin_univariate(x = x)
bw <- bw_select_plugin_univariate(n = 100)
|
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