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This function allows you to evaluate a Functional Time Series (funts) object on a specified grid of argument values. The result is a list of matrices, each matrix corresponding to one dimension of the functional data.
eval.funts(argvals, obj)A list of matrices, where each matrix represents the evaluated values of the functional data on the specified grid.
a list or numeric vector specifying the grid points at which to evaluate the functional time series. For multivariate functional data, provide a list of grids corresponding to each dimension.
an object of class funts to be evaluated.
The argvals argument can be a list of grids for multivariate functional data.
The function handles both functional basis and empirical basis cases for evaluation.
For empirical basis with irregular grids, a warning is issued as this feature
is under development.
funts
data("Montana")
y <- Montana
u <- seq(0, 23, len = 4)
v <- seq(1, 33, len = 3)
grid <- list(u, list(v, v))
eval.funts(grid, y)
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