compute_error: Helper function for computing error rates
In sglOptim: Generic Sparse Group Lasso Solver

Description Usage Arguments Value Author(s)

This function can be used to compute mean error rates. It is consist with the use cases of the Err genetic function. The loss function should be of the form function(x, y) and must return a single numeric number, with x a list of true responses and y a list of responses (one list element for each sample).

1 2	compute_error(x, response_name, true_response, loss, transposed_response = FALSE)

`x`	sgl object containing responses
`response_name`	the name of the response.
`true_response`	the true response
`loss`	the loss function.
`transposed_response`	have the response list been transposed with `transpose_response_elements`