fun.Dexplinear: A function to evaluate the derivatives with respect to the...
In Data2LD: Functional Data Analysis with Linear Differential Equations

Description Usage Arguments Details Value References See Also

Coefficient functions in linear differential systems are often required to be strictly positive. This can be achieved by defining the coefficient function to be the exponential of a functional data object. This function evaluates the partial derivatives of the coefficient function with respect to the coefficients in the functional data object. It is used as the member fun.Dfd of a user-defined coefficient function.

1	fun.Dexplinear(tvec, bvec, Bbasisobj)

`tvec`	A vector of times at which the function is to be evaluated.
`bvec`	A vector or a single column of coefficient values for the functional data object.
`Bbasisobj`	A functional basis object.

The length of argument bvec must match the number of basis functions in argument Bbasisobj.

A matrix with the number of rows equal to the length of argument tvec and number of columns equal to the number of basis functions. This matrix contains the partial derivatives with respect to the coefficients defining the functional data object evaluated at the time values in argument tvec.

J. O. Ramsay and G. Hooker (2017) Dynamic Data Analysis. Springer.

fun.explinear

Data2LD documentation built on Aug. 6, 2020, 1:08 a.m.