gammaKernelCorrelation: Autocorrelation function for the gamma kernel
In phillipmurray/BSS: Brownian Semistationary Processes
Description
Usage
Arguments
Value
View source: R/bss_functions.R
Description
gammaKernelCorrelation calculates the value of the gamma kernel autocorrelation function
directly using the analytic expression.
Usage
1
gammaKernelCorrelation(alpha, lambda, h)
Arguments
alpha
the smoothness parameter, alpha, for the gamma kernel.
lambda
the exponent parameter, lambda, for the gamma kernel.
h
the lag to calculate the autocorrelation at.
Value
The function returns the autocorrelation for the gamma kernel with
parameters alpha and lambda at lag h.
phillipmurray/BSS documentation built on June 29, 2020, 11:34 a.m.
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Description Usage Arguments Value
View source: R/bss_functions.R
Description
gammaKernelCorrelation calculates the value of the gamma kernel autocorrelation function
directly using the analytic expression.
Usage
1 | gammaKernelCorrelation(alpha, lambda, h)
|
Arguments
alpha |
the smoothness parameter, alpha, for the gamma kernel. |
lambda |
the exponent parameter, lambda, for the gamma kernel. |
h |
the lag to calculate the autocorrelation at. |
Value
The function returns the autocorrelation for the gamma kernel with
parameters alpha and lambda at lag h.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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