gaussfun: Simple Gaussian kernel function
In krehfeld/nest: Non-equally spaced time series analysis

Description Usage Arguments Value Examples

Simple Gaussian kernel function

1	gaussfun(dt, h = 0.25)

`dt`	time difference
`h`	kernel width

Numeric

#Compare the weights given in nexcf to observations at a time lag of 0.1 and 1.
nest:::gaussfun(0.1,h=0.25)
nest:::gaussfun(1,h=0.25)
# If the sampling of two time series is very skewed, it may pay off to increase the kernel width h.
# h is set to 0.25 (lag units) by default, and increasing it moderately, e.g. to 0.5 is acceptable.