efWiener: Calculate the first M eigenfunctions of the Wiener process
In ClaraHapp/funData: An S4 Class for Functional Data
efWiener R Documentation
Calculate the first M eigenfunctions of the Wiener process
Description
This function calculates the first M (orthonormal) eigenfunctions of the
Wiener process on an arbitrary interval.
Usage
efWiener(argvals, M)
Arguments
argvals
A vector, defining a (fine) grid on the interval for which the
eigenfunctions are computed.
M
An integer, specifying the number of eigenfunctions that are
calculated.
Value
A univariate functional data object of class
funData containing the eigenfunctions of the Wiener
process on the given interval.
See Also
funData, simFunData, simMultiFunData
ClaraHapp/funData documentation built on Feb. 20, 2024, 6:07 p.m.
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| efWiener | R Documentation |
Calculate the first M eigenfunctions of the Wiener process
Description
This function calculates the first M (orthonormal) eigenfunctions of the Wiener process on an arbitrary interval.
Usage
efWiener(argvals, M)
Arguments
argvals |
A vector, defining a (fine) grid on the interval for which the eigenfunctions are computed. |
M |
An integer, specifying the number of eigenfunctions that are calculated. |
Value
A univariate functional data object of class
funData containing the eigenfunctions of the Wiener
process on the given interval.
See Also
funData, simFunData, simMultiFunData
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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