expWeight: This function computes the smooth windowing weights

In Hamedhm/SmoothWin: Soft Windowing on Linear Regression

Description

This function computes the exponential weights (smooth windowing function) for different shapes (k) and bandwidth (l) and provides some plots

Usage

  expWeight(t, k, l, m = 0, plot = FALSE, ...)

Arguments

t	Vector. a vector of positive continuous values
k	A single value for sharpness
l	A single value for bandwidth
m	Vector. The location of the modes on t
plot	Logical flag. Set to true shows a plot of the weights.
...	The parameters that are passed to the plot() function

Value

A vector of weights

Author(s)

Hamed Haselimashhadi <[e-mail]>

See Also

SmoothWin

Examples

  weight = expWeight(
    t = 1:100,
    k = 1,
    l = 5,
    m = c(25, 50, 75),
    plot = TRUE
  )

Hamedhm/SmoothWin documentation built on May 18, 2019, 10:13 a.m.