an integer giving the number of initial boosting iterations.
nu
a double (between 0 and 1) defining the step size or shrinkage parameter.
constraint
a logical indicating whether the working responses
should be restricted to $(-1, +1)$.
risk
a logical indicating if the empirical risk should be
computed for each boosting iteration
(needed for AIC).
savedata
a logical, should the data be saved in the
returned object?
Value
An object of class boost_control, a list.
Details
Objects returned by this function specify hyper parameters of the
boosting algorithms implemented in glmboost,
gamboost and blackboost
(via the control argument).