getBenchmarks: Runs all the solvers on (x, y) training data with SLOPE...
In straw-boy/solvers: Various solvers for SLOPE

Runs all the solvers on (x, y) training data with SLOPE parameter alpha, prints the total time in each case, and returns the merged data frame.

getBenchmarks(
  x,
  y,
  family = c("gaussian", "binomial", "multinomial", "poisson"),
  alpha = 0.01,
  path_length = 1
)

`x`	the design matrix, which can be either a dense matrix of the standard matrix class, or a sparse matrix inheriting from Matrix::sparseMatrix. Data frames will be converted to matrices internally.
`y`	the response, which for `family = "gaussian"` must be numeric; for `family = "binomial"` or `family = "multinomial"`, it can be a factor.
`family`	model family
`alpha`	parameter used for SLOPE regularization
`path_length`	The regularization path length. By default, it is one. 'alpha' is ignored if path_length is not 1, in which case, list of alpha and the length of the list is returned.