Flatten Functional Predictors Into a Matrix

Accepts a standard numeric matrix/data frame or a named list of functional blocks. List inputs are column-bound while preserving the original block membership of each coefficient, which is later reused for grouped stability selection and FDA-aware SelectBoost grouping.

Usage

as_functional_matrix(x, center = FALSE, scale = FALSE)

Arguments

x

A numeric matrix/data frame, an fda_grid, an fda_basis, an fda_design, or a list of such objects. Each list element is treated as one functional block.

center, scale

Passed to base::scale() when either argument is TRUE.

Value

An object of class fda_matrix with elements x, blocks, and positions.