basis_list_cols: List Basis Functions
In jeremyrcoyle/mangolassi: The Scalable Highly Adaptive Lasso

basis_list_cols

R Documentation

List Basis Functions

Build a list of basis functions from a set of columns

basis_list_cols(
  cols,
  x,
  smoothness_orders,
  include_zero_order,
  include_lower_order = FALSE
)

`cols`	Index or indices (as `numeric`) of covariates (columns) of interest in the data matrix `x` for which basis functions ought to be generated. Note that basis functions for interactions of these columns are computed automatically.
`x`	A `matrix` containing observations in the rows and covariates in the columns. Basis functions are computed for these covariates.
`smoothness_orders`	An integer vector of length `ncol(x)` specifying the desired smoothness of the function in each covariate. k = 0 is no smoothness (indicator basis), k = 1 is first order smoothness, and so on. For an additive model, the component function for each covariate will have the degree of smoothness as specified by smoothness_orders. For non-additive components (tensor products of univariate basis functions), the univariate basis functions in each tensor product have smoothness degree as specified by smoothness_orders.
`include_zero_order`	A `logical`, indicating whether the zeroth order basis functions are included for each covariate (if `TRUE`), in addition to the smooth basis functions given by `smoothness_orders`. This allows the algorithm to data-adaptively choose the appropriate degree of smoothness.
`include_lower_order`	A `logical`, like `include_zero_order`, except including all basis functions of lower smoothness degrees than specified via `smoothness_orders`.