Prepare sgl function arguments using sgldata.
# S3 method for sgldata
prepare.args(data, parameterGrouping = NULL,
groupWeights = NULL, parameterWeights = NULL,
parameterNames = NULL, alpha, test_data = NULL, ...)a sgldata object
grouping of parameters, a vector of length \(p\). Each element of the vector specifying the group of the parameters in the corresponding column of \(\beta\).
the group weights, a vector of length length(unique(parameterGrouping)) (the number of groups).
a matrix of size \(q \times p\), that is the same dimension as \(\beta\).
dim-names of parameters, if NULL dimnames(parameterWeights) will be used.
the \(\alpha\) value 0 for group lasso, 1 for lasso, between 0 and 1 gives a sparse group lasso penalty.
optional test data to be prepared (a sgldata object)
not used
Other sgldata: add_data.sgldata,
create.sgldata, prepare.args,
prepare_data,
rearrange.sgldata,
subsample.sgldata