sim_fda_curves: simulates a collection of independent curves.

In dan410/sfdasim: Simulates spatially dependent functional curves and data

Description

For the specified basis functions, spatial dependence is incorporated through the covariance structure of the spatial fields connected to the coefficients. The coefficients of the first basis funciton is a simulated Gaussian random field with covariance model equal to the first specified covariance model and parameters equal to the first specified covariance parameters. The same is true for the remaining basis functions, which means that the number of basis functions should be equal to the number of covariance models specified, and the order in which they are specified is matters. The Gaussian random fields are simulated with the grf function in the geoR package. See geoR documentation for specification of covariance models.

Usage

sim_fda_curves(nbasis, nfuns, type = "Cos", basis.pars = NULL)

Arguments

nbasis	number of basis functions
nfuns	number of curves to generate
type	character specifying the type of basis functions to use. Default is type="Cos".
basis.pars	extra parameters used in the construction of basis functions

Value

coef matrix containing coefficients of the basis functions. The number of columns is equal to the number of basis functions

basis.fns list of basis functions created by create_basis

dan410/sfdasim documentation built on May 14, 2019, 3:34 p.m.