create.sgldata: Create a sgldata object
In sglOptim: Generic Sparse Group Lasso Solver

Description Usage Arguments Author(s) See Also

Creates a sgldata object from a design matrix and an optional response vector or matrix.

create.sgldata(x, y, response_dimension = .get_response_dimension(y),
  response_names = .get_response_names(y), sparseX = is(x,
  "sparseMatrix"), sparseY = is(y, "sparseMatrix"),
  typeX = element_class(x), typeY = element_class(y))

`x`	the design matrix, a matrix of size N \times p (will be parsed to the loss module as `X`).
`y`	the responses, `NULL`, a vector or a matrix (will be parsed to the loss module as matrix `Y`)..
`response_dimension`	number of models, that is the dimension of the returned response.
`response_names`	names of models, that is the names of the elements of the returned response.
`sparseX`	if TRUE `x` will be treated as sparse, if FALSE `x` will be treated as dens.
`sparseY`	if TRUE `y` will be treated as sparse, if FALSE `y` will be treated as dens.
`typeX`	type of the elements of x.
`typeY`	type of the elements of y.