boost_control(mstop = 100, nu = 0.1, constraint = FALSE,
risk = c("inbag", "oobag", "none"), savedata = TRUE)
inbag
leads
risks computed for the learning sample (i.e., all non-zero weights),
oobag
toboost_control
, a list.glmboost
,
gamboost
and blackboost
(via the control
argument).