Computes lammax
, the smallest value of lam for which hsm
gives a completely sparse solution.
lam.max.hsm(y, assign, w.assign)
Length-p
vector used in proximal operator.
Matrix of p
columns that gives the assignments of
variables over different path graphs. Each row of assign
corresponds to
a path graph decomposed from DAG. Refer to paths
for more details.
List of length nrow(assign)
, for which
the l
th element contains the weights corresponding to the
l
th row of assign
(the l
th path graph). For
example, if the l
th path graph is made up of three nodes indexed with
{3, 4, 6, 8}
, w.assign[[l]] = {w_3, w_4, w_6, w_8}
.
Refer to paths
for more details.