nsrk: Normal scale rule for kernel density estimation
In FiSh: Fisher-Shannon Method

Bandwidth selector for non-parametric estimation. Estimates the optimal AMISE bandwidth using the Normal Scale Rule with Gaussian kernel.

1	nsrk(x, log_trsf=FALSE)

`x`	Univariate data.
`log_trsf`	Logical flag: if `TRUE` the data are log-transformed (usually used for skewed positive data). By default `log_trsf = FALSE`.

The bandwidth value.

M. P. Wand and M. C. Jones, (1995). Kernel Smoothing. Chapman and Hall, London.

1 2	x <- rnorm(1000) h <- nsrk(x)

FiSh documentation built on May 4, 2021, 1:05 a.m.

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