Description Usage Arguments Value Examples
This function is called internally by
to get the linear programming initial fit if the user requests
implementation of the algorithm starting at the largest lambda
value and proceeding backwards.
complete constraint matrix C (with constraints of the form
constraint vector b
beta the initial beta vector of coefficients to use for the PaC algorithm
1 2 3
random_data = generate.data(n = 500, p = 20, m = 10) lin_start = lin.int(random_data$C.full, random_data$b) lin_start
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