build_Fourier_basis: build_Fourier_basis
In bliss: Bayesian Functional Linear Regression with Sparse Step Functions
View source: R/Simulate_Data.R
build_Fourier_basis R Documentation
build_Fourier_basis
Description
Define a Fourier basis to simulate functional covariate observations.
Usage
build_Fourier_basis(grid, dim, per = 2 * pi)
Arguments
grid
a numerical vector.
dim
a numerical value. It corresponds to dim(basis)/2.
per
a numerical value which corresponds to the period of the sine and
cosine functions.
Details
See the sim_x function.
Value
a matrix. Each row is an functional observation evaluated on the
grid time points.
Examples
# See the function \code{sim_x}.
bliss documentation built on May 29, 2024, 8:35 a.m.
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View source: R/Simulate_Data.R
| build_Fourier_basis | R Documentation |
build_Fourier_basis
Description
Define a Fourier basis to simulate functional covariate observations.
Usage
build_Fourier_basis(grid, dim, per = 2 * pi)
Arguments
grid |
a numerical vector. |
dim |
a numerical value. It corresponds to |
per |
a numerical value which corresponds to the period of the sine and cosine functions. |
Details
See the sim_x function.
Value
a matrix. Each row is an functional observation evaluated on the
grid time points.
Examples
# See the function \code{sim_x}.
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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